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Professor Scott Brown

Professor

School of Psychology (Psychology)

Career Summary

Biography

Since earning my PhD in 2002, I have focussed on applying mathematical modelling techniques to the understanding of higher-order cognitive processes (mostly memory and decision-making). I spent four years as an Assistant Professor at UC Irvine, and then took up a position at the University of Newcastle. I have been supported in research-only positions by the Australian Research Council from 2008-2016 (a Queen Elizabeth II Fellowship, then a Future Fellowship). I share a lab with a strong group of math-psych researchers - see http://newcl.org/brown for details.


Qualifications

  • PhD (Psychology), University of Newcastle
  • Bachelor of Science, University of Newcastle
  • Bachelor of Mathematics, University of Newcastle
  • Bachelor of Science (Honours) (Psychology), University of Newcastle

Keywords

  • cognition
  • mathematical psychology
  • memory
  • modelling
  • quantitative modelling
  • statistics

Fields of Research

Code Description Percentage
170199 Psychology not elsewhere classified 30
170299 Cognitive Sciences not elsewhere classified 65
179999 Psychology and Cognitive Sciences not elsewhere classified 5

Professional Experience

UON Appointment

Title Organisation / Department
Professor University of Newcastle
School of Psychology
Australia

Academic appointment

Dates Title Organisation / Department
Fellow - Society for Mathematical Psychology Society for Mathematical Psychology
Australia
18/07/2015 Fellow - Psychonomic Association Psychonomic Association
United States
1/12/2012 -  Fellow - ARC University of Newcastle
School of Psychology
Australia
1/06/2008 - 1/06/2013 Fellow - QE-II University of Newcastle
School of Psychology
Australia
1/01/2006 - 1/12/2010 Research Fellow ARC (Australian Research Council)
1/05/2005 - 1/05/2006 Review Panelist - Dynamic Systems Grants National Science Foundation
1/09/2002 - 1/08/2006 Assistant Professor University of California, Irvine
Department of Cognitive Science

Awards

Research Award

Year Award
2008 New Investigator Award
Society for Mathematical Psychology (United States)
2006 New Investigator Award
American Psychological Assocation (Division of Experimental Psychology) (United States)

Invitations

Participant

Year Title / Rationale
2006 International Workshop on Diffusion Models
Organisation: Albert Ludwigs University, Freiburg
Edit

Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (1 outputs)

Year Citation Altmetrics Link
2015 Heathcote A, Brown SD, Wagenmakers EJ, 'An introduction to good practices in cognitive modeling', An introduction to model-based cognitive neuroscience, Springer, New York, NY 25-48 (2015) [B2]
DOI 10.1007/978-1-4939-2236-9_2
Citations Scopus - 10
Co-authors Andrew Heathcote

Journal article (103 outputs)

Year Citation Altmetrics Link
2017 Evans NJ, Brown SD, 'Bayes factors for the linear ballistic accumulator model of decision-making.', Behav Res Methods, (2017)
DOI 10.3758/s13428-017-0887-5
2017 Evans NJ, Howard ZL, Heathcote A, Brown SD, 'Model flexibility analysis does not measure the persuasiveness of a fit', Psychological Review, 124 339-345 (2017)

© 2017 American Psychological Association. Recently, Veksler, Myers, and Gluck (2015) proposed model flexibility analysis as a method that "aids model evaluation by providing a m... [more]

© 2017 American Psychological Association. Recently, Veksler, Myers, and Gluck (2015) proposed model flexibility analysis as a method that "aids model evaluation by providing a metric for gauging the persuasiveness of a given fit" (p. 755) Model flexibility analysis measures the complexity of a model in terms of the proportion of all possible data patterns it can predict. We show that this measure does not provide a reliable way to gauge complexity, which prevents model flexibility analysis from fulfilling either of the 2 aims outlined by Veksler et al. (2015): absolute and relative model evaluation. We also show that model flexibility analysis can even fail to correctly quantify complexity in the most clear cut case, with nested models. We advocate for the use of well-established techniques with these characteristics, such as Bayes factors, normalized maximum likelihood, or cross-validation, and against the use of model flexibility analysis. In the discussion, we explore 2 issues relevant to the area of model evaluation: the completeness of current model selection methods and the philosophical debate of absolute versus relative model evaluation.

DOI 10.1037/rev0000057
Co-authors Andrew Heathcote
2017 Evans NJ, Brown SD, 'People adopt optimal policies in simple decision-making, after practice and guidance', Psychonomic Bulletin and Review, 24 597-606 (2017)

© 2016, Psychonomic Society, Inc. Organisms making repeated simple decisions are faced with a tradeoff between urgent and cautious strategies. While animals can adopt a statistic... [more]

© 2016, Psychonomic Society, Inc. Organisms making repeated simple decisions are faced with a tradeoff between urgent and cautious strategies. While animals can adopt a statistically optimal policy for this tradeoff, findings about human decision-makers have been mixed. Some studies have shown that people can optimize this ¿speed¿accuracy tradeoff¿, while others have identified a systematic bias towards excessive caution. These issues have driven theoretical development and spurred debate about the nature of human decision-making. We investigated a potential resolution to the debate, based on two factors that routinely differ between human and animal studies of decision-making: the effects of practice, and of longer-term feedback. Our study replicated the finding that most people, by default, are overly cautious. When given both practice and detailed feedback, people moved rapidly towards the optimal policy, with many participants reaching optimality with less than 1 h of practice. Our findings have theoretical implications for cognitive and neural models of simple decision-making, as well as methodological implications.

DOI 10.3758/s13423-016-1135-1
2017 Evans NJ, Rae B, Bushmakin M, Rubin M, Brown SD, 'Need for closure is associated with urgency in perceptual decision-making.', Mem Cognit, (2017)
DOI 10.3758/s13421-017-0718-z
Co-authors Mark Rubin
2017 van Ravenzwaaij D, Provost A, Brown SD, 'A confirmatory approach for integrating neural and behavioral data into a single model', Journal of Mathematical Psychology, 76 131-141 (2017)

© 2016 Elsevier Inc. Recent decades have witnessed amazing advances in both mathematical models of cognition and in the field of cognitive neuroscience. These developments were i... [more]

© 2016 Elsevier Inc. Recent decades have witnessed amazing advances in both mathematical models of cognition and in the field of cognitive neuroscience. These developments were initially independent of one another, but recently the fields have started to become interested in joining forces. The resulting joint modeling of behavioral and neural data can be difficult, but has proved fruitful. We briefly review different approaches used in decision-making research for linking behavioral and neural data, and also provide an example. Our example provides a tight link between behavioral data and evoked scalp potentials measured during mental rotation. The example model illustrates a powerful hypothesis-driven way of linking such data sets. We demonstrate the use of such a model, provide a model comparison against interesting alternatives, and discuss the conclusions that follow from applying such a joint model.

DOI 10.1016/j.jmp.2016.04.005
Citations Scopus - 2Web of Science - 2
Co-authors Dvanravenzwaaij1, Alexander Provost
2017 Keuken MC, Ly A, Boekel W, Wagenmakers E-J, Belay L, Verhagen J, et al., 'Corrigendum to "A purely confirmatory replication study of structural brain-behavior correlations" [Cortex 66 (2015) 115-133].', Cortex, 93 229-233 (2017)
DOI 10.1016/j.cortex.2017.03.007
2017 Henman P, Brown SD, Dennis S, 'When rating systems do not rate Evaluating ERA's performance', AUSTRALIAN UNIVERSITIES REVIEW, 59 58-68 (2017)
Co-authors Simon Dennis
2017 Tillman G, Benders T, Brown SD, Ravenzwaaij DV, 'An evidence accumulation model of acoustic cue weighting in vowel perception', Journal of Phonetics, 61 1-12 (2017)

© 2016 Elsevier Ltd Listeners rely on multiple acoustic cues to recognize any phoneme. The relative contribution of these cues to listeners¿ perception is typically inferred fro... [more]

© 2016 Elsevier Ltd Listeners rely on multiple acoustic cues to recognize any phoneme. The relative contribution of these cues to listeners¿ perception is typically inferred from listeners¿ categorization of sounds in a two-alternative forced-choice task. Here we advocate the use of an evidence accumulation model to analyze categorization as well as response time data from such cue weighting paradigms in terms of the processes that underlie the listeners¿ categorization. We tested 30 Dutch listeners on their categorization of speech sounds that varied between typical /¿/ and /a¿/ in vowel quality (F1 and F2) and duration. Using the linear ballistic accumulator model, we found that the changes in spectral quality and duration lead to changes in the speed of information processing, and the effects were larger for spectral quality. In addition, for stimuli with atypical spectral information, listeners accumulate evidence faster for /¿/ compared to /a¿/. Finally, longer durations of sounds did not produce longer estimates of perceptual encoding time. Our results demonstrate the utility of evidence accumulation models for learning about the latent processes that underlie phoneme categorization. The implications for current theory in speech perception as well as future directions for evidence accumulation models are discussed.

DOI 10.1016/j.wocn.2016.12.001
Citations Scopus - 1Web of Science - 1
2017 Provost A, Jamadar S, Heathcote A, Brown SD, Karayanidis F, 'Intertrial RT variability affects level of target-related interference in cued task switching.', Psychophysiology, (2017)
DOI 10.1111/psyp.12971
Co-authors Andrew Heathcote, Frini Karayanidis
2016 Cassey P, Hawkins GE, Donkin C, Brown SD, 'Using alien coins to test whether simple inference is Bayesian', Journal of Experimental Psychology: Learning Memory and Cognition, 42 497-503 (2016) [C1]

© 2015 American Psychological Association. Reasoning and inference are well-studied aspects of basic cognition that have been explained as statistically optimal Bayesian inferenc... [more]

© 2015 American Psychological Association. Reasoning and inference are well-studied aspects of basic cognition that have been explained as statistically optimal Bayesian inference. Using a simplified experimental design, we conducted quantitative comparisons between Bayesian inference and human inference at the level of individuals. In 3 experiments, with more than 13,000 participants, we asked people for prior and posterior inferences about the probability that 1 of 2 coins would generate certain outcomes. Most participants' inferences were inconsistent with Bayes' rule. Only in the simplest version of the task did the majority of participants adhere to Bayes' rule, but even in that case, there was a significant proportion that failed to do so. The current results highlight the importance of close quantitative comparisons between Bayesian inference and human data at the individual-subject level when evaluating models of cognition.

DOI 10.1037/xlm0000188
Citations Scopus - 1
Co-authors Guy Hawkins
2016 Van Ravenzwaaij D, Cassey P, Brown SD, 'A Simple Introduction to Markov Chain Monte-Carlo', JOURNAL OF MATHEMATICAL PSYCHOLOGY, --- (2016)
Citations Scopus - 3
Co-authors Dvanravenzwaaij1
2016 De Hollander G, Forstmann BU, Brown SD, 'Different Ways of Linking Behavioral and Neural Data via Computational Cognitive Models', Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1 101-109 (2016) [C1]

© 2016 Society of Biological Psychiatry. Cognitive neuroscientists sometimes apply formal models to investigate how the brain implements cognitive processes. These models describ... [more]

© 2016 Society of Biological Psychiatry. Cognitive neuroscientists sometimes apply formal models to investigate how the brain implements cognitive processes. These models describe behavioral data in terms of underlying, latent variables linked to hypothesized cognitive processes. A goal of model-based cognitive neuroscience is to link these variables to brain measurements, which can advance progress in both cognitive and neuroscientific research. However, the details and the philosophical approach for this linking problem can vary greatly. We propose a continuum of approaches that differ in the degree of tight, quantitative, and explicit hypothesizing. We describe this continuum using four points along it, which we dub qualitative structural, qualitative predictive, quantitative predictive, and single model linking approaches. We further illustrate by providing examples from three research fields (decision making, reinforcement learning, and symbolic reasoning) for the different linking approaches.

DOI 10.1016/j.bpsc.2015.11.004
Citations Scopus - 8
2016 Winkel J, Hawkins GE, Ivry RB, Brown SD, Cools R, Forstmann BU, 'Focal striatum lesions impair cautiousness in humans', Cortex, 85 37-45 (2016) [C1]

© 2016 Elsevier Ltd Functional neuroimaging data indicate the dorsal striatum is engaged when people are required to vary the cautiousness of their decisions, by emphasizing the ... [more]

© 2016 Elsevier Ltd Functional neuroimaging data indicate the dorsal striatum is engaged when people are required to vary the cautiousness of their decisions, by emphasizing the speed or accuracy of responding in laboratory-based decision tasks. However, the functional contribution of the striatum to decision making is unknown. In the current study we tested patients with focal ischemic lesions of the dorsal striatum and matched non-lesion control participants on a speed-accuracy tradeoff (SAT) task. Analysis using a computational model of response selection in a competitive and time-pressured context indicated that the decisions of patients with striatal lesions were less cautious than those of matched controls. This deficit was most prominent when the accuracy of decisions was emphasized. The results are consistent with the hypothesis that the striatum plays an important role in strategically setting response caution, an essential function for flexible behavior.

DOI 10.1016/j.cortex.2016.09.023
Citations Scopus - 1Web of Science - 1
Co-authors Guy Hawkins
2016 Cassey PJ, Gaut G, Steyvers M, Brown SD, 'A generative joint model for spike trains and saccades during perceptual decision-making', Psychonomic Bulletin and Review, 23 1757-1778 (2016) [C1]

© 2016, Psychonomic Society, Inc. Theory development in both psychology and neuroscience can benefit by consideration of both behavioral and neural data sets. However, the develo... [more]

© 2016, Psychonomic Society, Inc. Theory development in both psychology and neuroscience can benefit by consideration of both behavioral and neural data sets. However, the development of appropriate methods for linking these data sets is a difficult statistical and conceptual problem. Over the past decades, different linking approaches have been employed in the study of perceptual decision-making, beginning with rudimentary linking of the data sets at a qualitative, structural level, culminating in sophisticated statistical approaches with quantitative links. We outline a new approach, in which a single model is developed that jointly addresses neural and behavioral data. This approach allows for specification and testing of quantitative links between neural and behavioral aspects of the model. Estimating the model in a Bayesian framework allows both data sets to equally inform the estimation of all model parameters. The use of a hierarchical model architecture allows for a model, which accounts for and measures the variability between neurons. We demonstrate the approach by re-analysis of a classic data set containing behavioral recordings of decision-making with accompanying single-cell neural recordings. The joint model is able to capture most aspects of both data sets, and also supports the analysis of interesting questions about prediction, including predicting the times at which responses are made, and the corresponding neural firing rates.

DOI 10.3758/s13423-016-1056-z
Citations Scopus - 1
2016 Boehm U, Hawkins GE, Brown S, van Rijn H, Wagenmakers EJ, 'Of monkeys and men: Impatience in perceptual decision-making', Psychonomic Bulletin and Review, 23 738-749 (2016) [C1]

© 2015, The Author(s). For decades sequential sampling models have successfully accounted for human and monkey decision-making, relying on the standard assumption that decision m... [more]

© 2015, The Author(s). For decades sequential sampling models have successfully accounted for human and monkey decision-making, relying on the standard assumption that decision makers maintain a pre-set decision standard throughout the decision process. Based on the theoretical argument of reward rate maximization, some authors have recently suggested that decision makers become increasingly impatient as time passes and therefore lower their decision standard. Indeed, a number of studies show that computational models with an impatience component provide a good fit to human and monkey decision behavior. However, many of these studies lack quantitative model comparisons and systematic manipulations of rewards. Moreover, the often-cited evidence from single-cell recordings is not unequivocal and complimentary data from human subjects is largely missing. We conclude that, despite some enthusiastic calls for the abandonment of the standard model, the idea of an impatience component has yet to be fully established; we suggest a number of recently developed tools that will help bring the debate to a conclusive settlement.

DOI 10.3758/s13423-015-0958-5
Citations Scopus - 2Web of Science - 2
Co-authors Guy Hawkins
2016 Weigard A, Huang-Pollock C, Brown S, 'Evaluating the Consequences of Impaired Monitoring of Learned Behavior in Attention-Deficit/Hyperactivity Disorder Using a Bayesian Hierarchical Model of Choice Response Time', NEUROPSYCHOLOGY, 30 502-515 (2016) [C1]
DOI 10.1037/neu0000257
Citations Scopus - 2Web of Science - 2
2016 Ratcliff R, Smith PL, Brown SD, McKoon G, 'Diffusion Decision Model: Current Issues and History', Trends in Cognitive Sciences, 20 260-281 (2016) [C1]

© 2016 Published by Elsevier Ltd. There is growing interest in diffusion models to represent the cognitive and neural processes of speeded decision making. Sequential-sampling mo... [more]

© 2016 Published by Elsevier Ltd. There is growing interest in diffusion models to represent the cognitive and neural processes of speeded decision making. Sequential-sampling models like the diffusion model have a long history in psychology. They view decision making as a process of noisy accumulation of evidence from a stimulus. The standard model assumes that evidence accumulates at a constant rate during the second or two it takes to make a decision. This process can be linked to the behaviors of populations of neurons and to theories of optimality. Diffusion models have been used successfully in a range of cognitive tasks and as psychometric tools in clinical research to examine individual differences. In this review, we relate the models to both earlier and more recent research in psychology.

DOI 10.1016/j.tics.2016.01.007
Citations Scopus - 37Web of Science - 33
2015 Hawkins GE, Forstmann BU, Wagenmakers EJ, Ratcliff R, Brown SD, 'Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making', Journal of Neuroscience, 35 2476-2484 (2015) [C1]

© 2015 the authors. For nearly 50 years, the dominant account of decision-making holds that noisy information is accumulated until a fixed threshold is crossed. This account has ... [more]

© 2015 the authors. For nearly 50 years, the dominant account of decision-making holds that noisy information is accumulated until a fixed threshold is crossed. This account has been tested extensively against behavioral and neurophysiological data for decisions about consumer goods, perceptual stimuli, eyewitness testimony, memories, and dozens of other paradigms, with no systematic misfit between model and data. Recently, the standard model has been challenged by alternative accounts that assume that less evidence is required to trigger a decision as time passes. Such ¿collapsing boundaries¿ or ¿urgency signals¿ have gained popularity in some theoretical accounts of neurophysiology. Nevertheless, evidence in favor of these models is mixed, with support coming from only a narrow range of decision paradigms compared with a long history of support from dozens of paradigms for the standard theory. We conducted the first large-scale analysis of data from humans and nonhuman primates across three distinct paradigms using powerful model-selection methods to compare evidence for fixed versus collapsing bounds. Overall, we identified evidence in favor of the standard model with fixed decision boundaries. We further found that evidence for static or dynamic response boundaries may depend on specific paradigms or procedures, such as the extent of task practice. We conclude that the difficulty of selecting between collapsing and fixed bounds models has received insufficient attention in previous research, calling into question some previous results.

DOI 10.1523/JNEUROSCI.2410-14.2015
Citations Scopus - 37Web of Science - 34
Co-authors Guy Hawkins
2015 Jones LG, Hawkins GE, Brown SD, 'Using Best-Worst Scaling to Improve Psychological Service Delivery: An Innovative Tool for Psychologists in Organized Care Settings', PSYCHOLOGICAL SERVICES, 12 20-27 (2015) [C1]
DOI 10.1037/ser0000011
Citations Scopus - 3Web of Science - 3
Co-authors Guy Hawkins
2015 Trueblood JS, Brown SD, Heathcote A, 'The fragile nature of contextual preference reversals: Reply to Tsetsos, Chater, and Usher (2015)', Psychological Review, 122 848-853 (2015) [C1]

© 2015 American Psychological Association. Trueblood, Brown, and Heathcote (2014) developed a new model, called the multiattribute linear ballistic accumulator (MLBA), to explain... [more]

© 2015 American Psychological Association. Trueblood, Brown, and Heathcote (2014) developed a new model, called the multiattribute linear ballistic accumulator (MLBA), to explain contextual preference reversals in multialternative choice. MLBA was shown to provide good accounts of human behavior through both qualitative analyses and quantitative fitting of choice data. Tsetsos, Chater, and Usher (2015) investigated the ability of MLBA to simultaneously capture 3 prominent context effects (attraction, compromise, and similarity). They concluded that MLBA must set a "fine balance" of competing forces to account for all 3 effects simultaneously and that its predictions are sensitive to the position of the stimuli in the attribute space. Through a new experiment, we show that the 3 effects are very fragile and that only a small subset of people shows all 3 simultaneously. Thus, the predictions that Tsetsos et al. generated from the MLBA model turn out to match closely real data in a new experiment. Support for these predictions provides strong evidence for the MLBA. A corollary is that a model that can "robustly" capture all 3 effects simultaneously is not necessarily a good model. Rather, a good model captures patterns found in human data, but cannot accommodate patterns that are not found.

Citations Scopus - 4Web of Science - 4
Co-authors Andrew Heathcote
2015 Boekel W, Wagenmakers E-J, Belay L, Verhagen J, Brown S, Forstmann BU, 'A purely confirmatory replication study of structural brain-behavior correlations', CORTEX, 66 115-133 (2015) [C1]
DOI 10.1016/j.cortex.2014.11.019
Citations Scopus - 35Web of Science - 32
2015 Hawkins GE, Wagenmakers E-J, Ratcliff R, Brown SD, 'Discriminating evidence accumulation from urgency signals in speeded decision making.', J Neurophysiol, 114 40-47 (2015) [C1]
DOI 10.1152/jn.00088.2015
Citations Scopus - 7Web of Science - 7
Co-authors Guy Hawkins
2015 Terry A, Marley AAJ, Barnwal A, Wagenmakers EJ, Heathcote A, Brown SD, 'Generalising the drift rate distribution for linear ballistic accumulators', Journal of Mathematical Psychology, 68-69 49-58 (2015) [C1]

© 2015 Elsevier Inc. The linear ballistic accumulator model is a theory of decision-making that has been used to analyse data from human and animal experiments. It represents dec... [more]

© 2015 Elsevier Inc. The linear ballistic accumulator model is a theory of decision-making that has been used to analyse data from human and animal experiments. It represents decisions as a race between independent evidence accumulators, and has proven successful in a form assuming a normal distribution for accumulation ("drift") rates. However, this assumption has some limitations, including the corollary that some decision times are negative or undefined. We show that various drift rate distributions with strictly positive support can be substituted for the normal distribution without loss of analytic tractability, provided the candidate distribution has a closed-form expression for its mean when truncated to a closed interval. We illustrate the approach by developing three new linear ballistic accumulation variants, in which the normal distribution for drift rates is replaced by either the lognormal, Fréchet, or gamma distribution. We compare some properties of these new variants to the original normal-rate model.

DOI 10.1016/j.jmp.2015.09.002
Citations Scopus - 1Web of Science - 1
Co-authors Andrew Heathcote
2014 Cassey P, Heathcote A, Brown SD, 'Brain and behavior in decision-making.', PLoS Comput Biol, 10 e1003700 (2014) [C1]
DOI 10.1371/journal.pcbi.1003700
Citations Scopus - 10Web of Science - 9
Co-authors Andrew Heathcote
2014 Trueblood JS, Brown SD, Heathcote A, 'The multiattribute linear ballistic accumulator model of context effects in multialternative choice.', Psychol Rev, 121 179-205 (2014) [C1]
DOI 10.1037/a0036137
Citations Scopus - 33Web of Science - 27
Co-authors Andrew Heathcote
2014 Heathcote A, Wagenmakers E-J, Brown SD, 'The Falsifiability of Actual Decision-Making Models', PSYCHOLOGICAL REVIEW, 121 676-678 (2014) [C3]
DOI 10.1037/a0037771
Citations Scopus - 7Web of Science - 7
Co-authors Andrew Heathcote
2014 Ho TC, Yang G, Wu J, Cassey P, Brown SD, Hoang N, et al., 'Functional connectivity of negative emotional processing in adolescent depression', JOURNAL OF AFFECTIVE DISORDERS, 155 65-74 (2014) [C1]
DOI 10.1016/j.jad.2013.10.025
Citations Scopus - 36Web of Science - 34
2014 Rae B, Heathcote A, Donkin C, Averell L, Brown S, 'The Hare and the Tortoise: Emphasizing Speed Can Change the Evidence Used to Make Decisions', JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION, 40 1226-1243 (2014) [C1]
DOI 10.1037/a0036801
Citations Scopus - 32Web of Science - 33
Co-authors Andrew Heathcote
2014 Hawkins GE, Marley AAJ, Heathcote A, Flynn TN, Louviere JJ, Brown SD, 'Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences', COGNITIVE SCIENCE, 38 701-735 (2014) [C1]
DOI 10.1111/cogs.12094
Citations Scopus - 11Web of Science - 7
Co-authors Andrew Heathcote, Guy Hawkins
2014 Ester EF, Ho TC, Brown SD, Serences JT, 'Variability in visual working memory ability limits the efficiency of perceptual decision making', JOURNAL OF VISION, 14 (2014) [C1]
DOI 10.1167/14.4.2
Citations Scopus - 5Web of Science - 2
2014 Hawkins GE, Marley AAJ, Heathcote A, Flynn TN, Louviere JJ, Brown SD, 'The best of times and the worst of times are interchangeable.', Decision, 1 192-214 (2014) [C1]
DOI 10.1037/dec0000012
Co-authors Andrew Heathcote, Guy Hawkins
2013 Matzke D, Love J, Wagenmakers E-J, Wiecki TV, Brown SD, Logan GD, 'Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions', Frontiers in Psychology, 4 (2013) [C1]
DOI 10.3389/fpsyg.2013.00918
Citations Scopus - 8Web of Science - 6
2013 Friedman J, Brown S, Finkbeiner M, 'Linking cognitive and reaching trajectories via intermittent movement control', JOURNAL OF MATHEMATICAL PSYCHOLOGY, 57 140-151 (2013) [C1]
DOI 10.1016/j.jmp.2013.06.005
Citations Scopus - 9Web of Science - 9
2013 Matzke D, Dolan CV, Logan GD, Brown SD, Wagenmakers E-J, 'Bayesian Parametric Estimation of Stop-Signal Reaction Time Distributions', JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 142 1047-1073 (2013) [C1]
DOI 10.1037/a0030543
Citations Scopus - 21Web of Science - 21
2013 Provost A, Johnson B, Karayanidis F, Brown SD, Heathcote A, 'Two Routes to Expertise in Mental Rotation', COGNITIVE SCIENCE, 37 1321-1342 (2013) [C1]
DOI 10.1111/cogs.12042
Citations Scopus - 5Web of Science - 5
Co-authors Andrew Heathcote, Alexander Provost, Frini Karayanidis
2013 Sinderberry B, Brown SD, Hammond P, Stevens AF, Schall UA, Murphy DGM, et al., 'Subtypes in 22q11.2 deletion syndrome associated with behaviour and neurofacial morphology', Research in Developmental Disabilities, 34 116-125 (2013) [C1]
DOI 10.1016/j.ridd.2012.07.025
Citations Scopus - 5Web of Science - 5
Co-authors Ulrich Schall, Linda E Campbell
2013 Trueblood JS, Brown SD, Heathcote A, Busemeyer JR, 'Not Just for Consumers: Context Effects Are Fundamental to Decision Making', PSYCHOLOGICAL SCIENCE, 24 901-908 (2013) [C1]
DOI 10.1177/0956797612464241
Citations Scopus - 46Web of Science - 37
Co-authors Andrew Heathcote
2013 Turner BM, Forstmann BU, Wagenmakers E-J, Brown SD, Sederberg PB, Steyvers M, 'A Bayesian framework for simultaneously modeling neural and behavioral data', NEUROIMAGE, 72 193-206 (2013) [C1]
DOI 10.1016/j.neuroimage.2013.01.048
Citations Scopus - 44Web of Science - 40
2013 Turner BM, Sederberg PB, Brown SD, Steyvers M, 'A Method for Efficiently Sampling From Distributions With Correlated Dimensions', PSYCHOLOGICAL METHODS, 18 368-384 (2013) [C1]
DOI 10.1037/a0032222
Citations Scopus - 30Web of Science - 30
2013 Hawkins GE, Rae B, Nesbitt KV, Brown SD, 'Gamelike features might not improve data', BEHAVIOR RESEARCH METHODS, 45 301-318 (2013) [C1]
DOI 10.3758/s13428-012-0264-3
Citations Scopus - 12Web of Science - 15
Co-authors Keith Nesbitt, Guy Hawkins
2012 Brown SD, 'Common ground for behavioural and neuroimaging research', Australian Journal of Psychology, 64 4-10 (2012) [C1]
DOI 10.1111/j.1742-9536.2011.00046.x
Citations Scopus - 3Web of Science - 3
2012 Ho TC, Brown S, Abuyo NA, Ku EHJ, Serences JT, 'Perceptual consequences of feature-based attentional enhancement and suppression.', Journal of vision, 12 15 (2012)

Feature-based attention has been shown to enhance the responses of neurons tuned to an attended feature while simultaneously suppressing responses of neurons tuned to unattended f... [more]

Feature-based attention has been shown to enhance the responses of neurons tuned to an attended feature while simultaneously suppressing responses of neurons tuned to unattended features. However, the influence of these suppressive neuronal-level modulations on perception is not well understood. Here, we investigated the perceptual consequences of feature-based attention by having subjects judge which of four random dot patterns (RDPs) contained a motion signal (Experiment 1) or which of four RDPs contained the most salient nonrandom motion signal (Experiment 2). Subjects viewed pre-cues which validly, invalidly, or neutrally cued the direction of the target RDP. Behavioral data were fit using the linear ballistic accumulator (LBA) model; the model design that best described the data revealed that the rate of sensory evidence accumulation (drift rate) was highest on valid trials and systematically decreased until the cued direction and the target direction were orthogonal. These results demonstrate behavioral correlates of both feature-based attentional enhancement and suppression.

Citations Scopus - 4
2012 White CN, Brown SD, Ratcliff R, 'A test of Bayesian observer models of processing in the Eriksen flanker task', Journal of Experimental Psychology-Human Perception and Performance, 38 489-497 (2012) [C1]
DOI 10.1037/a0026065
Citations Scopus - 9Web of Science - 6
2012 Ho T, Brown SD, Van Maanen L, Forstmann BU, Wagenmakers E-J, Serences JT, 'The optimality of sensory processing during the speed-accuracy tradeoff', Journal of Neuroscience, 32 7992-8003 (2012) [C1]
DOI 10.1523/JNEUROSCI.0340-12.2012
Citations Scopus - 34Web of Science - 34
2012 Hawkins GE, Brown SD, Steyvers M, Wagenmakers E-J, 'Context effects in multi-alternative decision making: Empirical data and a Bayesian model', Cognitive Science, 36 498-516 (2012) [C1]
DOI 10.1111/j.1551-6709.2011.01221.x
Citations Scopus - 12Web of Science - 10
Co-authors Guy Hawkins
2012 Hawkins GE, Brown SD, Steyvers M, Wagenmakers EJ, 'An optimal adjustment procedure to minimize experiment time in decisions with multiple alternatives', Psychonomic Bulletin & Review, 19 339-348 (2012) [C1]
Citations Scopus - 10Web of Science - 10
Co-authors Guy Hawkins
2012 Prince MA, Brown SD, Heathcote AJ, 'The design and analysis of state-trace experiments', Psychological Methods, 17 78-99 (2012) [C1]
DOI 10.1037/a0025809
Citations Scopus - 20Web of Science - 17
Co-authors Andrew Heathcote
2012 Ho TC, Brown SD, Abuyo NA, Ku E-HJ, Serences JT, 'Perceptual consequences of feature-based attentional enhancement and suppression', Journal of Vision, 12 1-17 (2012) [C1]
Citations Scopus - 5Web of Science - 3
2012 Dodds PM-J, Rae BP, Brown SD, 'Perhaps unidimensional Is not unidimensional', Cognitive Science, 36 1542-1555 (2012) [C1]
2012 Hawkins GE, Brown SD, Steyvers M, Wagenmakers E-J, 'Decision speed induces context effects in choice', Experimental Psychology, 59 206-215 (2012) [C1]
DOI 10.1027/1618-3169/a000145
Citations Scopus - 4Web of Science - 4
Co-authors Guy Hawkins
2012 Hawkins GE, Nesbitt KV, Brown SD, 'Dynamic difficulty balancing for cautious players and risk takers', International Journal of Computer Games Technology, 2012 1-10 (2012) [C1]
Citations Scopus - 7
Co-authors Keith Nesbitt
2012 Parris BA, Bate S, Brown SD, Hodgson TL, 'Facilitating goal-oriented behaviour in the stroop task: when executive control is influenced by automatic processing', PLOS One, 7 1-4 (2012) [C1]
Citations Scopus - 3Web of Science - 4
2012 Van Maanen L, Grasman RPPP, Forstmann BU, Keuken MC, Brown SD, Wagenmakers E-J, 'Similarity and number of alternatives in the random-dot motion paradigm', Attention Perception & Psychophysics, 74 739-753 (2012) [C1]
DOI 10.3758/s13414-011-0267-7
Citations Scopus - 15Web of Science - 15
2011 Dodds PM-J, Donkin C, Brown SD, Heathcote AJ, Marley AAJ, 'Stimulus-specific learning: Disrupting the bow effect in absolute identification', Attention, Perception, and Psychophysics, 73 1977-1986 (2011) [C1]
DOI 10.3758/s13414-011-0156-0
Citations Scopus - 2Web of Science - 2
Co-authors Andrew Heathcote
2011 Van Ravenzwaaij D, Brown SD, Wagenmakers E-J, 'An integrated perspective on the relation between response speed and intelligence', Cognition, 119 381-393 (2011) [C1]
DOI 10.1016/j.cognition.2011.02.002
Citations Scopus - 24Web of Science - 20
Co-authors Dvanravenzwaaij1
2011 Donkin C, Brown SD, Heathcote AJ, 'Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator', Journal of Mathematical Psychology, 55 140-151 (2011) [C1]
DOI 10.1016/j.jmp.2010.10.001
Citations Scopus - 43Web of Science - 39
Co-authors Andrew Heathcote
2011 Turner BM, Van Zandt T, Brown SD, 'A dynamic stimulus-driven model of signal detection', Psychological Review, 118 583-613 (2011) [C1]
Citations Scopus - 27Web of Science - 27
2011 Karayanidis F, Provost AL, Brown SD, Paton BK, Heathcote AJ, 'Switch-specific and general preparation map onto different ERP components in a task-switching paradigm', Psychophysiology, 48 559-568 (2011) [C1]
DOI 10.1111/j.1469-8986.2010.01115.x
Citations Scopus - 34Web of Science - 32
Co-authors Alexander Provost, Andrew Heathcote, Frini Karayanidis, Bryan Paton
2011 Van Maanen L, Brown SD, Eichele T, Wagenmakers E-J, Ho T, Serences J, Forstmann BU, 'Neural correlates of trial-to-trial fluctuations in response caution', Journal of Neuroscience, 31 17488-17495 (2011) [C1]
DOI 10.1523/jneurosci.2924-11.2011
Citations Scopus - 74Web of Science - 71
2011 Forstmann BU, Tittgemeyer M, Wagenmakers E-J, Derrfuss J, Imperati D, Brown SD, 'The speed-accuracy tradeoff in the elderly brain: A structural model-based approach', Journal of Neuroscience, 31 17242-17249 (2011) [C1]
Citations Scopus - 71Web of Science - 63
2011 Dodds PM-J, Donkin C, Brown SD, Heathcote AJ, 'Increasing capacity: Practice effects in absolute identification', Journal of Experimental Psychology: Learning, Memory and Cognition, 37 477-492 (2011) [C1]
DOI 10.1037/a0022215
Co-authors Andrew Heathcote
2011 Donkin C, Brown SD, Heathcote AJ, Wagenmakers E-J, 'Diffusion versus linear ballistic accumulation: Different models but the same conclusions about psychological processes?', Psychonomic Bulletin and Review, 18 61-69 (2011) [C1]
Citations Scopus - 47Web of Science - 46
Co-authors Andrew Heathcote
2011 Forstmann BU, Wagenmakers E-J, Eichele T, Brown SD, Serences JT, 'Reciprocal relations between cognitive neuroscience and formal cognitive models: Opposites attract?', Trends in Cognitive Sciences, 15 272-279 (2011) [C1]
DOI 10.1016/j.tics.2011.04.002
Citations Scopus - 52Web of Science - 48
2010 Forstmann BU, Brown SD, Dutilh G, Neumann J, Wagenmakers E-J, 'The neural substrate of prior information in perceptual decision making: A model-based analysis', Frontiers in Human Neuroscience, 4 1-12 (2010) [C1]
DOI 10.3389/fnhum.2010.00040
Citations Scopus - 47Web of Science - 44
2010 Heathcote AJ, Brown SD, Wagenmakers EJ, Eidels A, 'Distribution-free tests of stochastic dominance for small samples', Journal of Mathematical Psychology, 54 454-463 (2010) [C1]
DOI 10.1016/j.jmp.2010.06.005
Citations Scopus - 13Web of Science - 12
Co-authors Andrew Heathcote, Ami Eidels
2010 Forstmann BU, Anwander A, Schafer A, Neumann J, Brown SD, Wagenmakers E-J, et al., 'Cortico-striatal connections predict control over speed and accuracy in perceptual decision making', Proceedings of the National Academy of Sciences of the United States of America, 107 15916-15920 (2010) [C1]
DOI 10.1073/pnas.1004932107
Citations Scopus - 171Web of Science - 166
2010 Eidels A, Donkin CM, Brown SD, Heathcote AJ, 'Converging measures of workload capacity', Psychonomic Bulletin & Review, 17 763-771 (2010) [C1]
DOI 10.3758/PBR.17.6.763
Co-authors Andrew Heathcote, Ami Eidels
2009 Donkin CM, Brown SD, Heathcote AJ, 'ChoiceKey: A real-time speech recognition program for psychology experiments with a small response set', Behavior Research Methods, 41 154-162 (2009) [C1]
DOI 10.3758/brm.41.1.154
Citations Scopus - 6Web of Science - 4
Co-authors Andrew Heathcote
2009 Donkin CM, Averell LA, Brown SD, Heathcote AJ, 'Getting more from accuracy and response time data: Methods for fitting the linear ballistic accumulator', Behavior Research Methods, 41 1095-1110 (2009) [C1]
DOI 10.3758/brm.41.4.1095
Citations Scopus - 36Web of Science - 35
Co-authors Andrew Heathcote
2009 Donkin CM, Brown SD, Heathcote AJ, Marley AAJ, 'Dissociating speed and accuracy in absolute identification: The effect of unequal stimulus spacing', Psychological Research-Psychologische Forschung, 73 308-316 (2009) [C1]
DOI 10.1007/s00426-008-0158-2
Citations Scopus - 6Web of Science - 5
Co-authors Andrew Heathcote
2009 Brown SD, Steyvers M, 'Detecting and predicting changes', Cognitive Psychology, 58 49-67 (2009) [C1]
DOI 10.1016/j.cogpsych.2008.09.002
Citations Scopus - 56Web of Science - 54
2009 Brown SD, Steyvers M, Wagenmakers E-J, 'Observing evidence accumulation during multi-alternative decisions', Journal of Mathematical Psychology, 56 453-462 (2009) [C1]
DOI 10.1016/j.jmp.2009.09.002
Citations Scopus - 21Web of Science - 23
2009 Ho TC, Brown SD, Serences JT, 'Domain general mechanisms of perceptual decision making in human cortex', Journal of Neuroscience, 29 8675-8687 (2009) [C1]
DOI 10.1523/jneurosci.5984-08.2009
Citations Scopus - 120Web of Science - 111
2009 Brown SD, Marley AAJ, Dodds PM-J, Heathcote AJ, 'Purely relative models cannot provide a general account of absolute identification', Psychonomic Bulletin & Review, 16 583-593 (2009) [C1]
DOI 10.3758/pbr.16.3.583
Citations Scopus - 6Web of Science - 6
Co-authors Andrew Heathcote
2009 Donkin CM, Brown SD, Heathcote AJ, 'The overconstraint of response time models: Rethinking the scaling problem', Psychonomic Bulletin and Review, 16 1129-1135 (2009) [C1]
DOI 10.3758/pbr.16.6.1129
Citations Scopus - 43Web of Science - 43
Co-authors Andrew Heathcote
2008 Brown SD, Heathcote AJ, 'The simplest complete model of choice response time: Linear ballistic accumulation', Cognitive Psychology, 57 153-178 (2008) [C1]
DOI 10.1016/j.cogpsych.2007.12.002
Citations Scopus - 321Web of Science - 298
Co-authors Andrew Heathcote
2008 Forstmann BU, Dutilh G, Brown SD, Neumann J, Von Cramon DY, Ridderinkhof KR, Wagenmakers E-J, 'Striatum and pre-SMA facilitate decision-making under time pressure', Proceedings of the National Academy of Sciences of the United States of America, 105 17538-17542 (2008) [C1]
DOI 10.1073/pnas.0805903105
Citations Scopus - 294Web of Science - 278
2008 Brown SD, Marley AAJ, Donkin CM, Heathcote AJ, 'An integrated model of choices and response times in absolute identification', Psychological Review, 115 396-425 (2008) [C1]
DOI 10.1037/0033-295X.115.2.396
Citations Scopus - 50Web of Science - 49
Co-authors Andrew Heathcote
2007 Brown SD, Steyvers M, Hemmer P, 'Modeling experimentally induced strategy shifts', Psychological Science, 18 40-45 (2007) [C1]
DOI 10.1111/j.1467-9280.2007.01846.x
Citations Scopus - 20Web of Science - 16
2007 Wagenmakers EJ, Brown SD, 'On the linear relation between the mean and the standard deviation of a response time distribution', Psychological Review, 114 830-841 (2007) [C1]
DOI 10.1037/0033-295x.114.3.830
Citations Scopus - 127Web of Science - 119
2007 Brown S, Lacouture Y, 'Is absolute identification always relative? Comment on Stewart, Brown, and Chater (2005)', PSYCHOLOGICAL REVIEW, 114 528-532 (2007) [C1]
DOI 10.1037/0033-295X.114.2.528
Citations Scopus - 7Web of Science - 6
2006 Brown SD, Ratcliff R, Smith PL, 'Evaluating methods for approximating stochastic differential equations', JOURNAL OF MATHEMATICAL PSYCHOLOGY, 50 402-410 (2006) [C1]
DOI 10.1016/j.jmp.2006.03.004
Citations Scopus - 15Web of Science - 16
2006 Brown S, Lehmann C, Poboka DM, 'A critical test of the failure-to-engage theory of task switching', Psychonomic Bulletin & Review, 13 152-159 (2006) [C1]
Citations Scopus - 19
2005 Brown S, Heathcote AJ, 'Practice increases the efficiency of evidence accumulation in perceptual choice', Journal of Experimental Psychology-Human Perception and Performance, 31 289-298 (2005) [C1]
DOI 10.1037/0096-1523.31.2.289
Citations Scopus - 16Web of Science - 9
Co-authors Andrew Heathcote
2005 Brown S, Heathcote AJ, 'A ballistic model of choice response time', Psychological Review, 112 117-128 (2005) [C1]
DOI 10.1037/0033-295X.112.1.117
Citations Scopus - 126Web of Science - 118
Co-authors Andrew Heathcote
2005 Chambers RA, Jones RM, Brown S, Taylor JR, 'Natural reward-related learning in rats with neonatal ventral hippocampal lesions and prior cocaine exposure', Psychopharmacology, 179 470-478 (2005) [C1]

Rational: Psychostimulant injections in rats have been shown to alter future performance in natural reward conditioning. These effects may represent a persistent impact of drugs o... [more]

Rational: Psychostimulant injections in rats have been shown to alter future performance in natural reward conditioning. These effects may represent a persistent impact of drugs on neurocircuits that interface cognitive and motivational processes, which may be further altered in neuropsychiatric conditions that entail increased addiction vulnerability. Objective: This study investigated whether a rat model of schizophrenia with cocaine addiction vulnerability shows altered natural reward conditioning with or without prior cocaine exposure. Methods: Adult rats with SHAM or neonatal ventral hippocampal lesions were given cocaine (15 mg/kg per day for 5 days) or saline injections, followed 7 days later by natural reward-conditioned learning. Over ten daily sessions, water-restricted rats were assessed for durations of head entries into a magazine during random water presentations, a conditioning stimulus phase predictive of the water reward, and an "inappropriate" phase when conditioning stimuli were absent and reward presentation would be delayed. Results: Over repeated sessions, lesioned and SHAM rats showed similar reductions in total magazine entry durations, with similar increases in the allocations of entry times during the water presentation. However, lesioned rats, especially those exposed to cocaine, demonstrated reduced allocations of magazine entry times during the conditioning stimulus phase, and increased allocations during the inappropriate phase. Conclusions: Intact natural reward motivation accompanied by deficient learning of complex contingencies to guide efficient reward approach may represent a form of impulsivity as an addiction vulnerability trait marker in an animal model of schizophrenia. © Springer-Verlag 2004.

DOI 10.1007/s00213-004-2042-0
Citations Scopus - 24
2005 Brown S, Steyvers M, 'The dynamics of experimentally induced criterion shifts.', J Exp Psychol Learn Mem Cogn, 31 587-599 (2005) [C1]
DOI 10.1037/0278-7393.31.4.587
Citations Scopus - 42
2004 Brown S, Head-Gordon T, 'Intermediates and the folding of proteins L and G', Protein Science, 13 958-970 (2004)

We use a minimalist protein model, in combination with a sequence design strategy, to determine differences in primary structure for proteins L and G, which are responsible for th... [more]

We use a minimalist protein model, in combination with a sequence design strategy, to determine differences in primary structure for proteins L and G, which are responsible for the two proteins folding through distinctly different folding mechanisms. We find that the folding of proteins L and G are consistent with a nucleation-condensation mechanism, each of which is described as helix-assisted ß-1 and ß-2 hairpin formation, respectively. We determine that the model for protein G exhibits an early intermediate that precedes the rate-limiting barrier of folding, and which draws together misaligned secondary structure elements that are stabilized by hydrophobic core contacts involving the third ß-strand, and presages the later transition state in which the correct strand alignment of these same secondary structure elements is restored. Finally, the validity of the targeted intermediate ensemble for protein G was analyzed by fitting the kinetic data to a two-step first-order reversible reaction, proving that protein G folding involves an on-pathway early intermediate, and should be populated and therefore observable by experiment.

DOI 10.1110/ps.03316004
Citations Scopus - 37
2004 Heathcote AJ, Brown S, 'Beyond curve fitting? Comment on Liu, Mayer-Kress, and Newell (2003)', Journal of Motor Behavior, 36 225-232 (2004) [C1]
DOI 10.3200/JMBR.36.2.225-232
Citations Scopus - 5Web of Science - 4
Co-authors Andrew Heathcote
2004 Cousineau D, Brown SD, Heathcote A, 'Methods and packages for fitting RT distributions', Behavior Research Methods, 36 277-290 (2004) [C1]
2004 Heathcote A, Brown S, 'Reply to Speckman and Rouder: A theoretical basis for QML', PSYCHONOMIC BULLETIN & REVIEW, 11 577-578 (2004)
DOI 10.3758/BF03196614
Citations Web of Science - 39
Co-authors Andrew Heathcote
2004 Speckman PL, Rouder JN, Heathcote A, Brown S, 'A comment on Heathcote, Brown, and Mewhort's QMLE method for response time distributions', Psychonomic Bulletin and Review, 11 574-578 (2004)

Heathcote, Brown, and Mewhort (2002) have introduced a new, robust method of estimating response time distributions. Their method may have practical advantages over conventional m... [more]

Heathcote, Brown, and Mewhort (2002) have introduced a new, robust method of estimating response time distributions. Their method may have practical advantages over conventional maximum likelihood estimation. The basic idea is that the likelihood of parameters is maximized given a few quantiles from the data. We show that Heathcote et al.'s likelihood function is not correct and provide the appropriate correction. However, although our correction stands on firmer theoretical ground than Heathcote et al.'s, it appears to yield worse parameter estimates. This result further indicates that, at least for some distributions and situations, quantile maximum likelihood estimation may have better nonasymptotic properties than a more theoretically justified approach.

Citations Scopus - 35
2004 Heathcote AJ, Brown S, Cousineau D, 'QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound', Behavior Research Methods, Instruments & Computers, 36 277-290 (2004) [C1]
DOI 10.3758/BF03195574
Citations Scopus - 69Web of Science - 68
Co-authors Andrew Heathcote
2004 Brown S, Cousineau D, Heathcote AJ, 'Fitting distributions using maximum likelihood: Methods and packages', Behavior Research Methods, Instruments, & Computers, 36 742-756 (2004) [C1]
DOI 10.3758/BF03206555
Citations Scopus - 79Web of Science - 72
Co-authors Andrew Heathcote
2003 Brown SD, Heathcote AJ, 'Bias in exponential and power function fits due to noise: Comment on Myung, Kim and Pitt', Memory and Cognition, 31 656-661 (2003) [C1]
DOI 10.3758/BF03196105
Citations Scopus - 7Web of Science - 6
Co-authors Andrew Heathcote
2003 Brown S, Heathcote A, 'QMLE: Fast, robust, and efficient estimation of distribution functions based on quantiles', BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS, 35 485-492 (2003) [C1]
DOI 10.3758/BF03195527
Citations Scopus - 44Web of Science - 44
Co-authors Andrew Heathcote
2003 Brown SD, Heathcote AJ, 'Averaging learning curves across and within participants', Behaviour Research Methods, Instruments and Computers, 35 11-21 (2003) [C1]
DOI 10.3758/BF03195493
Citations Scopus - 59Web of Science - 58
Co-authors Andrew Heathcote
2002 Brown S, Heathcote A, 'On the use of nonparametric regression in assessing parametric regression models', JOURNAL OF MATHEMATICAL PSYCHOLOGY, 46 716-730 (2002)
DOI 10.1006/jmps.2002.1421
Citations Scopus - 5Web of Science - 6
Co-authors Andrew Heathcote
2002 Brown SD, Heathcote AJ, 'On the use of nonparametric regression in assessing parametric regression models', Journal of Mathematical Psychology, 46 661-796 (2002) [C1]
Co-authors Andrew Heathcote
2002 Heathcote AJ, Brown SD, 'Quantile maximum likelihood estimation of response time distributions', Psychonomic Bulletin and Review, 9 394-401 (2002) [C1]
Citations Scopus - 125Web of Science - 121
Co-authors Andrew Heathcote
2002 Heathcote AJ, Brown SD, 'SEEXC: A model of response time in skill acquisition', Noetica: a cognitive science forum, online online (2002) [C1]
Co-authors Andrew Heathcote
2000 Heathcote AJ, Brown SD, 'The Law of practice and localist neural network models', Behavioral and Brain Sciences, 23 479-480 (2000) [C1]
Citations Scopus - 2Web of Science - 3
Co-authors Andrew Heathcote
2000 Heathcote AJ, Brown SD, Mewhort D, 'The power law repealed: The case for an expotential law of practice', Psychonomic Bulletin and Review, 7 185-207 (2000) [C1]
Citations Scopus - 298Web of Science - 258
Co-authors Andrew Heathcote
Show 100 more journal articles

Conference (46 outputs)

Year Citation Altmetrics Link
2015 Heathcote A, Turner BM, Brown SD, 'Evidence Accumulation Modeling: Bayesian Estimation using Differential Evolution.', CogSci (2015) [O1]
Co-authors Andrew Heathcote
2014 Hawkins G, Camilleri AR, Heathcote A, Newell BR, Brown SD, 'Modeling probability knowledge and choice in decisions from experience.', CogSci (2014)
Co-authors Andrew Heathcote
2013 Alexander P, Bryan P, Frini K, Scott B, Andrew H, 'Using Orthogonal Polynomial Trend Analysis and Wavelet decomposition (WOPTA) to investigate learning in a Mental Rotation task', Frontiers in Human Neuroscience (2013) [E3]
DOI 10.3389/conf.fnhum.2013.212.00139
Co-authors Andrew Heathcote, Alexander Provost, Frini Karayanidis
2013 Trueblood J, Brown SD, Heathcote A, 'The Multi-attribute Linear Ballistic Accumulator Model of Decision-making.', CogSci (2013)
Co-authors Andrew Heathcote
2012 Provost AL, Heathcote AJ, Brown SD, Jamadar S, Karayanidis F, 'Sustained target-driven interference under optimal preparation in a cued task switching paradigm using orthogonal polynomial trend analysis (OPTA)', Front. Hum. Neurosci. Conference Abstract: ACNS-2012 Australasian Cognitive Neuroscience Conference (2012) [E3]
Co-authors Frini Karayanidis, Andrew Heathcote, Alexander Provost
2012 Brown SD, Van Maanen L, Forstmann B, Wagenmakers EJ, 'Neural correlates and a mathematical model of trial-to-trial changes in decision-making', Combined Abstracts of 2012 Australian Psychology Conferences (2012) [E3]
2012 Hawkins GE, Rae BP, Nesbitt KV, Brown SD, 'To game or not to game, perhaps there is no question: Game-like features might not improve data', Combined Abstracts of 2012 Australian Psychology Conferences (2012) [E3]
Co-authors Keith Nesbitt, Guy Hawkins
2012 Paton B, Heathcote AJ, Karayanidis F, Brown SD, 'Orthogonal polynomial trend analysis using wavelet decomposition (WOPTA)', Combined Abstracts of 2012 Australian Psychology Conferences (2012) [E3]
Co-authors Andrew Heathcote, Frini Karayanidis
2012 Rae BP, Brown SD, Dodds PM-J, 'Perhaps unidimensional is not unidimensional', Combined Abstracts of 2012 Australian Psychology Conferences (2012) [E3]
2012 Trueblood J, Brown SD, Heathcote A, Busemeyer JR, 'Not just for consumers: Data and theory show that context effects are fundamental to decision-making.', CogSci (2012)
Co-authors Andrew Heathcote
2012 Provost AL, Johnson B, Karayanidis F, Brown SD, Heathcote AJ, 'Converging behavioural and psychophysiological evidence of two routes to expertise in mental rotation', Psychophysiology (2012) [E3]
Co-authors Andrew Heathcote, Alexander Provost, Frini Karayanidis
2011 Forstmann BU, Tittgemeyer M, Wagenmakers E-J, Derrfuss J, Imperati D, Brown SD, 'Aging and the speed-accuracy tradeoff: A model-based analysis of neuroanatomical data', Abstracts of the Psychonomic Society 52nd Annual Meeting (2011) [E3]
2011 Hawkins GE, Brown SD, Steyvers M, Wagenmakers E-J, 'Leave the experiment as quickly as possible, without looking stupid: An optimal adjustment procedure to explain context effects in mulit-alternative choice', Abstracts of the Psychonomic Society 52nd Annual Meeting (2011) [E3]
Co-authors Guy Hawkins
2011 Matzke D, Dolan CV, Logan GD, Brown SD, Wagenmakers E-J, 'A Bayesian parametric approach for the estimation of stop-signal reaction time distributions', Abstracts of the Psychonomic Society 52nd Annual Meeting (2011) [E3]
2011 Brown SD, Forstmann B, Wagenmakers EJ, 'The speed-accuracy tradeoff in the elderly brain: Imaging data and a mathematical model', Abstracts of the 38th Australasian Experimental Psychology Conference (2011) [E3]
2011 Dodds PM-J, Donkin CM, Brown SD, Heathcote AJ, 'Absolute identification: Modality specific learning', Abstracts of the 38th Australasian Experimental Psychology Conference (2011) [E3]
Co-authors Andrew Heathcote
2011 Heathcote AJ, Eidels A, Brown SD, Watson J, 'Measuring cross modal workload capacity', The Abstracts of the 38th Australasian Experimental Psychology Conference (2011) [E3]
Co-authors Andrew Heathcote, Ami Eidels
2010 Provost AL, Johnson B, Brown SD, Heathcote AJ, 'Brain acitivity associated with extensive practice in a mental rotation task', Clinical EEG and Neuroscience (2010) [E3]
Co-authors Andrew Heathcote, Alexander Provost
2010 Karayanidis F, Provost AL, Jamadar S, Brown SD, Paton BK, Heathcote AJ, 'Identification of ERP components underlying task-switching performance using variation across the RT distribution', Clinical EEG and Neuroscience (2010) [E3]
Co-authors Andrew Heathcote, Alexander Provost, Bryan Paton, Frini Karayanidis
2010 Dodds PM-J, Donkin C, Brown SD, Heathcote AJ, 'Multidimensional scaling methods for absolute identification data', Proceedings of the 32nd Annual Conference of the Cognitive Science Society (2010) [E1]
Co-authors Andrew Heathcote
2010 Donkin C, Shiffrin RM, Brown SD, Heathcote AJ, 'Does micro-variability make models more complex? A comparison between diffusive and linear evidence accumulation', Proceedings of the 32nd Annual Conference of the Cognitive Science Society (2010) [E1]
Co-authors Andrew Heathcote
2010 Hawkins GE, Prince MA, Brown SD, Heathcote AJ, 'Designing state-trace expeiments to assess the number of latent psychological variables underlying binary choices', Proceedings of the 32nd Annual Conference of the Cognitive Science Society (2010) [E1]
Co-authors Guy Hawkins, Andrew Heathcote
2010 Dodds PM-J, Donkin CM, Brown SD, Heathcote AJ, 'Practice effects in absolute identification', Combined Abstracts of 2010 Australian Psychology Conferences (2010) [E3]
DOI 10.1037/a0022215
Citations Scopus - 6Web of Science - 6
Co-authors Andrew Heathcote
2010 Brown SD, 'The pervasive problem of criterion setting', Abstracts of the 51st Annual Meeting of the Psychonomic Society (2010) [E3]
2010 Donkin CM, Shiffrin RM, Brown SD, Heathcote AJ, Wagenmakers E-J, 'Diffusion versus linear ballistic accumulation: Different models for response time, same conclusions about psychological mechanisms?', Abstracts of the 51st Annual Meeting of the Psychonomic Society (2010) [E3]
Co-authors Andrew Heathcote
2010 Brown SD, Forstmann B, Wagenmakers E-J, Serences J, 'Modelling decision bias', Australasian Mathematical Psychology Conference 2010 (AMPC 2010) (2010) [E3]
2010 Camilleri A, Newell B, Hawkins GE, Dodds PM-J, Brown SD, 'Judgment and choice in a sequential sampling paradigm', Australasian Mathematical Psychology Conference 2010 (AMPC 2010) (2010) [E3]
Co-authors Guy Hawkins
2010 Hawkins GE, Dodds PM-J, Camilleri A, Brown SD, Newell B, 'A particle filter account for the estimation of probability', Australasian Mathematical Psychology Conference 2010 (AMPC 2010) (2010) [E3]
Co-authors Guy Hawkins
2010 Hawkins GE, Prince MA, Brown SD, Heathcote AJ, 'State-trace analysis of recognition memory data: A Bayes Factor approach', Australasian Mathematical Psychology Conference 2010 (AMPC 2010) (2010) [E3]
Co-authors Andrew Heathcote, Guy Hawkins
2010 Prince MA, Hawkins GE, Brown SD, Heathcote AJ, 'Bayesian ordinal analysis of state-trace data', Australasian Mathematical Psychology Conference 2010 (AMPC 2010) (2010) [E3]
Co-authors Andrew Heathcote, Guy Hawkins
2010 Brown SD, 'All neuroscience is not bad science and all bad science is not neuroscience', Combined Abstracts of 2010 Australian Psychology Conferences (2010) [E3]
2010 Hawkins GE, Brown SD, Steyvers M, Wagenmakers EJ, 'Hick's Law: How high can it go?', Combined Abstracts of 2010 Australian Psychology Conferences (2010) [E3]
Co-authors Guy Hawkins
2010 Heathcote AJ, Eidels A, Donkin CM, Brown SD, 'Converging measures of workload capacity', Combined Abstracts of 2010 Australian Psychology Conferences (2010) [E3]
DOI 10.3758/PBR.17.6.763
Citations Scopus - 31Web of Science - 29
Co-authors Ami Eidels, Andrew Heathcote
2010 Karayanidis F, Provost AL, Brown SD, Paton B, Heathcote AJ, 'Using variability in RT distribution to identify functional significance of ERP components in taskswitching paradigm', Combined Abstracts of 2010 Australian Psychology Conferences (2010) [E3]
Co-authors Frini Karayanidis, Alexander Provost, Andrew Heathcote
2010 Provost AL, Johnson B, Brown SD, Heathcote AJ, 'Activity associated with extensive practice in a mental rotation task: Evidence for different strategies', Combined Abstracts of 2010 Australian Psychology Conferences (2010) [E3]
Co-authors Alexander Provost, Andrew Heathcote
2009 Heathcote AJ, Eidels A, Brown SD, 'A nonparametric Bayesian test for stochastic dominance', 53rd Annual Meeting of the Australian Mathemetical Society Conference Booklet (2009) [E3]
Co-authors Andrew Heathcote, Ami Eidels
2009 Heathcote AJ, Eidels A, Brown SD, 'Testing the Architecture of Cognition', Abstracts of the 50th Annual Meeting of the Psychonomic Society (2009) [E3]
Co-authors Andrew Heathcote, Ami Eidels
2009 Dodds PM-J, Donkin CM, Brown SD, Heathcote AJ, 'Revising the limits of learning in absolute identification', CogSci 2009 Proceedings (2009) [E1]
Co-authors Andrew Heathcote
2009 Donkin CM, Heathcote AJ, Brown SD, Andrews S, 'Non-decision time effects in the lexical decision task', CogSci 2009 Proceedings (2009) [E1]
Co-authors Andrew Heathcote
2008 Provost AL, Heathcote AJ, Brown SD, Paton BK, Karayanidis F, 'Integrating RT distribution analysis and ERPs associated with task switching', Clinical EEG and Neuroscience (2008) [E3]
Co-authors Andrew Heathcote, Frini Karayanidis, Alexander Provost, Bryan Paton
2008 Dodds P, Donkin CM, Brown SD, Heathcote AJ, 'Practice effects in absolute identification: Breaking Miller's limit', Australian Journal of Psychology (2008) [E3]
DOI 10.1080/00049530802385541
Co-authors Andrew Heathcote
2008 Donkin CM, Brown SD, Heathcote AJ, 'Why both response latency and choice are important in absolute identification', Australian Journal of Psychology (2008) [E3]
DOI 10.1080/00049530802385541
Co-authors Andrew Heathcote
2007 Brown SD, Heathcote AJ, 'The simplest model of choice and reaction time', Abstracts of the of the Psychonomics Society 48th Annual Meeting (2007) [E3]
Co-authors Andrew Heathcote
2007 Bohlscheid EE, Brown SD, Heathcote AJ, 'Learning with practice: To speed up, or not to speed up?', Abstracts of the of the Psychonomics Society 48th Annual Meeting (2007) [E3]
Co-authors Andrew Heathcote
2007 Brown SD, Steyvers M, 'How do people detect change?', Australian Journal of Psychology (2007) [E3]
2005 Steyvers M, Brown S, 'Prediction and change detection', Advances in Neural Information Processing Systems (2005) [E1]

We measure the ability of human observers to predict the next datum in a sequence that is generated by a simple statistical process undergoing change at random points in time. Acc... [more]

We measure the ability of human observers to predict the next datum in a sequence that is generated by a simple statistical process undergoing change at random points in time. Accurate performance in this task requires the identification of change points. We assess individual differences between observers both empirically, and using two kinds of models: a Bayesian approach for change detection and a family of cognitively plausible fast and frugal models. Some individuals detect too many changes and hence perform sub-optimally due to excess variability. Other individuals do not detect enough changes, and perform sub-optimally because they fail to notice short-term temporal trends.

Citations Scopus - 16
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Grants and Funding

Summary

Number of grants 25
Total funding $3,067,362

Click on a grant title below to expand the full details for that specific grant.


20171 grants / $345,324

20162 grants / $14,690

Improving rapid decisions made under duress$8,890

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Scott Brown, Doctor Ami Eidels, Doctor Keith Nesbitt, Professor Alan Brichta
Scheme Linkage Pilot Research Grant
Role Lead
Funding Start 2016
Funding Finish 2016
GNo G1501472
Type Of Funding Internal
Category INTE
UON Y

Modelling decision making in rodents $5,800

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Doctor Lauren Harms, Professor Scott Brown, Professor Deborah Hodgson, Emeritus Professor Patricia Michie
Scheme Research Grant
Role Investigator
Funding Start 2016
Funding Finish 2016
GNo G1501540
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

20151 grants / $302,546

The impact of faulty relevance filtering in schizophrenia.$302,546

Funding body: NHMRC (National Health & Medical Research Council)

Funding body NHMRC (National Health & Medical Research Council)
Project Team Associate Professor Juanita Todd, Professor Erich Schroger, Professor Scott Brown, Professor Ulli Schall, Emeritus Professor Patricia Michie
Scheme Project Grant
Role Investigator
Funding Start 2015
Funding Finish 2018
GNo G1400035
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

20132 grants / $103,992

A new approach to understanding decision making$57,250

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Dr Christopher Donkin, Professor Scott Brown, Professor Gordon Logan
Scheme Discovery Projects
Role Lead
Funding Start 2013
Funding Finish 2015
GNo G1300341
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

DVC(R) Research Support for Future Fellow (FT12)$46,742

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Scott Brown
Scheme Future Fellowship Support
Role Lead
Funding Start 2013
Funding Finish 2016
GNo G1201103
Type Of Funding Internal
Category INTE
UON Y

20123 grants / $929,919

Cognitive Models are like Toothbrushes: Everyone has their own, and Nobody wants to use Someone Else's$791,789

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Scott Brown
Scheme Future Fellowships
Role Lead
Funding Start 2012
Funding Finish 2016
GNo G1101076
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Rapid Decisions: From Neuroscience to Complex Cognitions$134,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Scott Brown, Doctor Ami Eidels, Professor Andrew Heathcote, Associate Professor John Serences, Professor Todd Braver, Associate Professor Eric-Jan Wagenmakers, Associate Professor Birte Forstmann
Scheme Discovery Projects
Role Lead
Funding Start 2012
Funding Finish 2014
GNo G1100343
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Faculty ECR Visiting Felllowship 2012$4,130

Funding body: University of Newcastle - Faculty of Science & IT

Funding body University of Newcastle - Faculty of Science & IT
Project Team Professor Scott Brown
Scheme ECR Visiting Fellowship
Role Lead
Funding Start 2012
Funding Finish 2012
GNo G1401113
Type Of Funding Internal
Category INTE
UON Y

20111 grants / $9,150

Do tonal language speakers have an advantage in absolute pitch perception?$9,150

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Ms Babette Rae, Professor Scott Brown, Conjoint Associate Professor Shuguang Wang
Scheme Research Grant
Role Investigator
Funding Start 2011
Funding Finish 2011
GNo G1101146
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

20093 grants / $7,150

Pushing the limits of Hick's Law: Evidence accumulation during multi-alternative decisions$3,350

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Professor Scott Brown, Doctor Guy Hawkins
Scheme Research Grant
Role Lead
Funding Start 2009
Funding Finish 2009
GNo G0900112
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

2008 FS&IT Research Excellence Award $2,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Scott Brown
Scheme Award for Research Excellence
Role Lead
Funding Start 2009
Funding Finish 2009
GNo G0189940
Type Of Funding Internal
Category INTE
UON Y

An evidence accumulation model of choice and response time in recognition memory$1,800

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Professor Scott Brown, Professor Andrew Heathcote, Mr Christopher Donkin
Scheme Research Grant
Role Lead
Funding Start 2009
Funding Finish 2010
GNo G0900167
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

20086 grants / $808,450

A new kind of dynamics for psychology$657,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Scott Brown
Scheme Discovery Projects
Role Lead
Funding Start 2008
Funding Finish 2012
GNo G0187529
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Absolute identification and beyond: A comprehensive, integrated architecture for speeded choice$120,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Scott Brown, Professor Andrew Heathcote
Scheme Discovery Projects
Role Lead
Funding Start 2008
Funding Finish 2010
GNo G0187468
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Acquiring expertise in the mental manipulation of visual images: Effects on brain and behaviour$17,000

Funding body: University of Newcastle - Faculty of Science & IT

Funding body University of Newcastle - Faculty of Science & IT
Project Team Professor Andrew Heathcote, Professor Scott Brown, Doctor Ken Sutton
Scheme Pilot Grant
Role Investigator
Funding Start 2008
Funding Finish 2008
GNo G0189040
Type Of Funding Internal
Category INTE
UON Y

Finding the simplest comprehensive model of speeded choice$6,750

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Professor Andrew Heathcote, Professor Scott Brown, Mr Christopher Donkin, Mr Lee Averell
Scheme Research Grant
Role Investigator
Funding Start 2008
Funding Finish 2008
GNo G0189621
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

An integrated approach to absolute identification$6,000

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Professor Scott Brown
Scheme Research Grant
Role Lead
Funding Start 2008
Funding Finish 2008
GNo G0189872
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

41st Annual Meeting of the Society for Mathematical Psychology, Fairmont Hotel, Washington DC USA, 26/7/2008 - 29/7/2008$1,700

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Scott Brown
Scheme Travel Grant
Role Lead
Funding Start 2008
Funding Finish 2008
GNo G0189294
Type Of Funding Internal
Category INTE
UON Y

20074 grants / $37,641

Absolute identification - setup grant$20,000

Funding body: Priority Research Centre for Brain and Mental Health Research

Funding body Priority Research Centre for Brain and Mental Health Research
Scheme Priority Research Centre
Role Lead
Funding Start 2007
Funding Finish 2007
GNo
Type Of Funding Not Known
Category UNKN
UON N

Human decision making in a dynamic environment$9,941

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Scott Brown
Scheme New Staff Grant
Role Lead
Funding Start 2007
Funding Finish 2007
GNo G0187335
Type Of Funding Internal
Category INTE
UON Y

Testing a truism: people cannot learn absolute identification$6,000

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Professor Scott Brown, Professor Andrew Heathcote
Scheme Research Grant
Role Lead
Funding Start 2007
Funding Finish 2007
GNo G0188391
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

Society for Mathematical Psychology (Annual Meeting), Wyndam Hotel, Orange County CA, USA, 25/7/2007 - 28/7/2007$1,700

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Scott Brown
Scheme Travel Grant
Role Lead
Funding Start 2007
Funding Finish 2007
GNo G0188084
Type Of Funding Internal
Category INTE
UON Y

20061 grants / $1,500

SciP & Psychomic Societies Annual Meetings, Houston, TX, USA, 16/11/2006 - 19/11/2006$1,500

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Scott Brown
Scheme Travel Grant
Role Lead
Funding Start 2006
Funding Finish 2006
GNo G0187053
Type Of Funding Internal
Category INTE
UON Y

20041 grants / $507,000

Inference in Dynamic Environments$507,000

Funding body: US Airforce, Office of Scientific Research

Funding body US Airforce, Office of Scientific Research
Project Team

Assoc. Prof. Mark Steyvers

Scheme Basic Science Program
Role Investigator
Funding Start 2004
Funding Finish 2007
GNo
Type Of Funding International - Non Competitive
Category 3IFB
UON N
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Research Supervision

Number of supervisions

Completed7
Current13

Total current UON EFTSL

PhD4.85

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2017 PhD Is Need for Closure Linked with Caution Threshold in Simple Perceptual Decision Making? PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2017 PhD Can You Really Do Two Things at Once? PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2016 PhD Investigating the Cognitive Processing Systems Underlying Numerical Cognition PhD (Psychology - Science), Faculty of Science, The University of Newcastle Co-Supervisor
2016 PhD Detection of Loss of Situational Awareness Using Biometric Measures PhD (Psychology - Science), Faculty of Science, The University of Newcastle Co-Supervisor
2015 PhD Understanding the Capacity and Architecture of Cognitive Systems PhD (Psychology - Science), Faculty of Science, The University of Newcastle Co-Supervisor
2015 PhD Investigating the nature of sequential effects in simple decision making PhD (Clinical Psychology), Faculty of Science, The University of Newcastle Principal Supervisor
2014 PhD Criterion Setting PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2014 PhD Evidence Accumulation Models of Rodent Behaviour PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2014 PhD Cognition in Schizophrenia and Aging: A Cognitive Model Analysis of the Underlying Mechanisms of Cognitive Deficits PhD (Psychology - Science), Faculty of Science, The University of Newcastle Co-Supervisor
2011 PhD Absolute Identification: A closer look at the relationship between performance and the complexity of psychological representation of stimuli PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2007 Honours Payoff matrix manipulation of decision thresholds Psychology, University of Newcastle Principal Supervisor
2007 Honours Learning in absolute identification Psychology, University of Newcastle Sole Supervisor
2007 Honours Sequence effects in absolute identification Psychology, University of Newcastle Principal Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2017 PhD Extending and Testing the Components of Evidence Accumulation Models of Decision-making PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2017 Masters Musical Accent in Action: Expressive Accent and Auditory-Biography in Live Music Performance M Philosophy (Music), Faculty of Education and Arts, The University of Newcastle Co-Supervisor
2017 PhD Advancing Methods and Mathematical Models of Perceptual Decision Making PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2015 PhD Using Bayesian Frameworks to Explore Simple Cognition PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2013 PhD Quantitative Approaches to Multi-Alternative Choice PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2012 PhD Revisiting Miller's Limit: Studies in Absolute Identification PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
2010 PhD The Importance of Choice and Response Times PhD (Psychology - Science), Faculty of Science, The University of Newcastle Principal Supervisor
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Professor Scott Brown

Position

Professor
School of Psychology
Faculty of Science

Focus area

Psychology

Contact Details

Email scott.brown@newcastle.edu.au
Phone (02) 4921 5760

Office

Room AVLG11a
Building Aviation Building
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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