Scott D. Brown

发表

Advances in simulating radiance signatures for dynamic air/water interfaces

Aaron Gerace, Adam A. Goodenough, Scott D. Brown, 2015, Defense + Security Symposium.

Comprehensive hyperspectral system simulation: I. Integrated sensor scene modeling and the simulation architecture

John R. Schott, Scott D. Brown, Bruce V. Shetler, 2000, SPIE Defense + Commercial Sensing.

Identifying relationships between cognitive processes across tasks, contexts, and time

David Gunawan, Scott D. Brown, Minh-Ngoc Tran, 2020, Behavior research methods.

Sub-pixel radiometry: a three-part study in generating synthetic imagery that incorporates sub-pixel variation

Carl Salvaggio, Adam A. Goodenough, Scott D. Brown, 2010, Defense + Commercial Sensing.

Utilization of DIRSIG in support of real-time infrared scene generation

Scott D. Brown, Jeffrey S. Sanders, 2000, Defense, Security, and Sensing.

Defining the clonality of peripheral T cell lymphomas using RNA-seq

Andrew P. Weng, Scott D. Brown, Greg Hapgood, 2016, Bioinform..

DIRSIG5: Next-Generation Remote Sensing Data and Image Simulation Framework

Scott D. Brown, Adam Goodenough, S. Brown, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models

Scott D. Brown, Udo Boehm, Eric-Jan Wagenmakers, 2017, Scientific Reports.

Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model

Guy Hawkins, Scott D. Brown, Mark Steyvers, 2012, Cogn. Sci..

DIRSIG 5: core design and implementation

Adam A. Goodenough, Scott D. Brown, S. Brown, 2012, Defense + Commercial Sensing.

Performance analysis of improved methodology for incorporation of spatial/spectral variability in synthetic hyperspectral imagery

John R. Schott, Scott D. Brown, Neil W. Scanlan, 2004, SPIE Optics + Photonics.

Radiometric modeling of mechanical draft cooling towers to assist in the extraction of their absolute temperature from remote thermal imagery

David W. Messinger, Matthew Montanaro, Alfred J. Garrett, 2009, Defense + Commercial Sensing.

Elastic ladar modeling for synthetic imaging applications

John R. Schott, Scott D. Brown, Robin R. Burton, 2002, SPIE Optics + Photonics.

Towards an improved understanding of the influence of subpixel vegetation structure on pixel-level spectra: a simulation approach

Adam A. Goodenough, Scott D. Brown, Martin van Leeuwen, 2016, SPIE Defense + Security.

Feature extraction using voxel aggregation of focused discrete lidar data

David W. Messinger, Scott D. Brown, Shea Hagstrom, 2010, Defense + Commercial Sensing.

Theoretical modeling of lidar return phenomenology from snow and ice surfaces

John P. Kerekes, Jiashu Zhang, Scott D. Brown, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Characterization techniques for incorporating backgrounds into DIRSIG

John R. Schott, Scott D. Brown, 2000, Defense, Security, and Sensing.

Perhaps Unidimensional Is Not Unidimensional

Scott D. Brown, Pennie Dodds, Babette Rae, 2012, Cogn. Sci..

Surface and buried landmine scene generation and validation using the digital imaging and remote sensing image generation model

John R. Schott, Scott D. Brown, Erin D. Peterson, 2004, SPIE Optics + Photonics.

The pervasive problem of criterion setting: (520592012-150)

Scott D. Brown, 2010 .

Prediction and Change Detection

Scott D. Brown, Mark Steyvers, 2005, NIPS.

Radiometric modeling of cavernous targets to assist in the determination of absolute temperature for input to process models

David W. Messinger, Matthew Montanaro, Alfred J. Garrett, 2007, SPIE Defense + Commercial Sensing.

Simulations of Leaf BSDF Effects on Lidar Waveforms

Scott D. Brown, Keith Krause, Adam Goodenough, 2020, Remote. Sens..

Plugin-driven sensor modeling of remote sensing imaging systems

Scott D. Brown, Adam Goodenough, S. Brown, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A Bayesian framework for simultaneously modeling neural and behavioral data

Birte U. Forstmann, Brandon M. Turner, Per B. Sederberg, 2013, NeuroImage.

Apparent temperature dependence on localized atmospheric water vapor

David W. Messinger, Matthew Montanaro, Alfred J. Garrett, 2008, SPIE Defense + Commercial Sensing.

An evidence accumulation model of acoustic cue weighting in vowel perception

Don van Ravenzwaaij, Scott D. Brown, Gabriel Tillman, 2017, J. Phonetics.

Two Routes to Expertise in Mental Rotation

Andrew Heathcote, Scott D. Brown, Blake W. Johnson, 2013, Cogn. Sci..

Driving Realistic Texture in Simulated Long-Wave Infrared Imagery

John R. Schott, Scott D. Brown, Stephen R. Lach, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Modeling probability knowledge and choice in decisions from experience

Ben R. Newell, Guy Hawkins, Andrew Heathcote, 2014, CogSci.

High-resolution slant-angle scene generation and validation of concealed targets in DIRSIG

Kris E. Barcomb, John R. Schott, Scott D. Brown, 2004, SPIE Optics + Photonics.

Modeling Reaction Time: An investigation on input-strength variability in two-alternative, forced-choice tasks 1

Scott D. Brown, Fabio Pereira das Neves Leite, S. Brown, 2004 .

Distribution-free tests of stochastic dominance for small samples

Andrew Heathcote, Scott D. Brown, Ami Eidels, 2010 .

Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences

Jordan J. Louviere, Terry N. Flynn, A. A. J. Marley, 2014, Cogn. Sci..

Modeling the image performance of the Landsat Data Continuity Mission sensors

John R. Schott, Aaron Gerace, Scott D. Brown, 2011, Optical Engineering + Applications.

Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions

Thomas V. Wiecki, Jonathon Love, Scott D. Brown, 2013, Front. Psychol..

First principles modeling for lidar sensing of complex ice surfaces

John P. Kerekes, Beáta Csathó, Jiashu Zhang, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

New Estimation Approaches for the Hierarchical Linear Ballistic Accumulator Model.

Robert Kohn, David Gunawan, Scott D. Brown, 2018 .

Hyperspectral simulation of chemical weapon dispersal patterns using DIRSIG

John R. Schott, Scott D. Brown, Peter S. Arnold, 2000, Defense, Security, and Sensing.

On the Use of Nonparametric Regression in

Andrew Heathcote, Scott D. Brown, 2002 .

The Multi-attribute Linear Ballistic Accumulator Model of Decision-making

Andrew Heathcote, Jennifer Trueblood, Scott D. Brown, 2013, CogSci.

Hybrid optical system for frequency-domain texture classification of imagery

Roger L. Easton, Scott D. Brown, Marc J. Comeau, 1994, Defense, Security, and Sensing.

SEEXC: a model of response time in skill acquisition

Andrew Heathcote, Scott D. Brown, 2002 .

Development of land surface reflectance models based on multiscale simulation

Adam A. Goodenough, Scott D. Brown, 2015, Defense + Security Symposium.

Modeling space-based multispectral imaging systems with DIRSIG

Michael G. Gartley, Adam A. Goodenough, Scott D. Brown, 2011, Defense + Commercial Sensing.

A comparison of spatial sampling techniques enabling first principles modeling of a synthetic aperture RADAR imaging platform

Michael G. Gartley, Adam A. Goodenough, Scott D. Brown, 2010, Defense + Commercial Sensing.

The Best of Times and the Worst of Times Are Interchangeable

Jordan J. Louviere, Terry N. Flynn, A. A. J. Marley, 2014 .

Synthetic data generation of high-resolution hyperspectral data using DIRSIG

John R. Schott, Scott D. Brown, David Pogorzala, 2007, SPIE Organic Photonics + Electronics.

Time-gated topographic LIDAR scene simulation

John R. Schott, Scott D. Brown, Daniel D. Blevins, 2005, SPIE Defense + Commercial Sensing.

Towards robust forest leaf area index assessment using an imaging spectroscopy simulation approach

John P. Kerekes, Wei Yao, Jan van Aardt, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Incorporation of polarization into the DIRSIG synthetic image generation model

John R. Schott, Scott D. Brown, Jason P. Meyers, 2002, SPIE Optics + Photonics.

Not just for consumers: Data and theory show that context effects are fundamental to decision-making

Andrew Heathcote, Jennifer Trueblood, Jerome R. Busemeyer, 2012, CogSci.

Advances in wide-area hyperspectral image simulation

Scott D. Brown, Emmett J. Ientilucci, Emmett Ientilucci, 2003, SPIE Defense + Commercial Sensing.

used in Octree Ray Tracing Algorithms

Scott D. Brown, S. Brown, 1998 .

Incorporation of texture in multispectral synthetic image generation tools

John R. Schott, Carl Salvaggio, Scott D. Brown, 1995, Defense, Security, and Sensing.

Accumulating Advantages: A New Approach to Multialternative Forced Choice Tasks

Andrew Heathcote, Don van Ravenzwaaij, Scott D. Brown, 2018 .

When Extremists Win: Cultural Transmission Via Iterated Learning When Populations Are Heterogeneous

Danielle J. Navarro, Amy Perfors, Scott D. Brown, 2018, Cogn. Sci..

A framework for polarized radiance signature prediction for natural scenes

David W. Messinger, Adam A. Goodenough, Scott D. Brown, 2007, SPIE Defense + Commercial Sensing.

Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator

Andrew Heathcote, Scott D. Brown, Chris Donkin, 2011 .

Interactive visualization of hyperspectral images on a hyperbolic disk

David W. Messinger, Adam A. Goodenough, Scott D. Brown, 2011, Defense + Commercial Sensing.

Using DIRSIG to identify uniform sites and demonstrate the utility of the side-slither calibration technique for Landsat's new pushbroom instruments

Michael G. Gartley, John R. Schott, Aaron Gerace, 2012, Defense + Commercial Sensing.

Simulation of Image Performance Characteristics of the Landsat Data Continuity Mission (LDCM) Thermal Infrared Sensor (TIRS)

Michael G. Gartley, John R. Schott, Matthew Montanaro, 2012, Remote. Sens..

Non-Decision Time Effects in the Lexical Decision Task

Andrew Heathcote, Scott D. Brown, Chris Donkin, 2009 .

Observing evidence accumulation during multi-alternative decisions

Scott D. Brown, Mark Steyvers, Eric-Jan Wagenmakers, 2009 .

Integration of optomechanical system models with DIRSIG

John P. Kerekes, Adam A. Goodenough, Scott D. Brown, 2018, Optical Engineering + Applications.

Recreation of a nominal polarimetric scene using synthetic modeling tools

David W. Messinger, Scott D. Brown, David Pogorzala, 2007, SPIE Defense + Commercial Sensing.

A confirmatory approach for integrating neural and behavioral data into a single model

Don van Ravenzwaaij, Scott D. Brown, Alexander Provost, 2017 .

Validation of in-water 3D radiative transfer using DIRSIG

John R. Schott, Scott D. Brown, Jacqueline Speir, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Dynamic Difficulty Balancing for Cautious Players and Risk Takers

Guy Hawkins, Scott D. Brown, Keith Nesbitt, 2012, Int. J. Comput. Games Technol..

Brain and behavior in decision-making | NOVA. The University of Newcastle's Digital Repository

Andrew Heathcote, Scott D. Brown, Peter Cassey, 2014 .

Evidence Accumulation Modeling: Bayesian Estimation using Differential Evolution

Brandon M. Turner, Andrew Heathcote, Scott D. Brown, 2015, CogSci.

Robustly estimating the marginal likelihood for cognitive models via importance sampling

Robert Kohn, David Gunawan, Scott D. Brown, 2019, Behavior Research Methods.

First-principles based LIDAR simulation environment for scenes with participating mediums

John R. Schott, Scott D. Brown, Daniel D. Blevins, 2006, SPIE Defense + Commercial Sensing.

Differential geometric techniques for invariant feature set representation

Richard L. Tutwiler, Scott D. Brown, 1996, Optics & Photonics.

Brain and Behavior in Decision-Making

Andrew Heathcote, Scott D. Brown, Peter Cassey, 2014, PLoS Comput. Biol..

Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability

Scott D. Brown, Mark Steyvers, Nathan J. Evans, 2018, Cogn. Sci..

The role of passing time in decision-making.

Scott D. Brown, Guy E. Hawkins, Nathan J. Evans, 2020, Journal of experimental psychology. Learning, memory, and cognition.

An introduction to good practices in cognitive modeling

Andrew Heathcote, Scott D. Brown, Eric-Jan Wagenmakers, 2015 .

The Law of Practice and localist neural network models

Andrew Heathcote, Scott D. Brown, 2000, Behavioral and Brain Sciences.

Response Times and Decision‐Making

Scott D. Brown, Chris Donkin, S. Brown, 2018 .

On the use of nonparametric regression in assessing parametric regression models

Andrew Heathcote, Scott D. Brown, 2002 .

Linking cognitive and reaching trajectories via intermittent movement control

Jason Friedman, Scott D. Brown, Matthew Finkbeiner, 2013 .

Optimal or not; depends on the task

Scott D. Brown, Nathan J. Evans, S. Brown, 2018, Psychonomic Bulletin & Review.

Multidimensional Scaling Methods for Absolute Identification Data

Andrew Heathcote, Scott D. Brown, Chris Donkin, 2010 .

Converging measures of workload capacity

Andrew Heathcote, Scott D. Brown, Ami Eidels, 2010, Psychonomic bulletin & review.

Generalising the drift rate distribution for linear ballistic accumulators

Avinash Barnwal, Andrew Heathcote, Scott D. Brown, 2015 .

Neural correlates of trial-to-trial fluctuations 1 Title: Neural correlates of trial-to-trial fluctuations in response caution Abbreviated title: Neural correlates of trial-to-trial fluctuations

Birte U. Forstmann, Scott D. Brown, Tom Eichele, 2011 .

The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models

Thomas V. Wiecki, Thomas J. Palmeri, Andrew Heathcote, 2018, Psychonomic Bulletin & Review.

Neural Correlates of Trial-to-Trial Fluctuations in Response Caution

Scott D. Brown, E. Wagenmakers, B. Forstmann, 2011, The Journal of Neuroscience.

The simplest complete model of choice response time: Linear ballistic accumulation

Scott D. Brown, S. Brown, A. Heathcote, 2008, Cognitive Psychology.

Striatum and pre-SMA facilitate decision-making under time pressure

K. R. Ridderinkhof, Scott D. Brown, D Yves von Cramon, 2008, Proceedings of the National Academy of Sciences.

A simple introduction to Markov Chain Monte–Carlo sampling

Scott D. Brown, S. Brown, D. van Ravenzwaaij, 2016, Psychonomic bulletin & review.

The overconstraint of response time models: Rethinking the scaling problem

Scott D. Brown, S. Brown, A. Heathcote, 2009, Psychonomic bulletin & review.

Different Ways of Linking Behavioral and Neural Data via Computational Cognitive Models.

Scott D. Brown, B. Forstmann, S. Brown, 2016, Biological psychiatry. Cognitive neuroscience and neuroimaging.

The power law repealed: The case for an exponential law of practice

Scott D. Brown, D. Mewhort, S. Brown, 2000, Psychonomic bulletin & review.

Subtypes in 22q11.2 deletion syndrome associated with behaviour and neurofacial morphology.

Scott D. Brown, S. Brown, D. Murphy, 2013, Research in developmental disabilities.

Perceptual consequences of feature-based attentional enhancement and suppression.

Scott D. Brown, Newton A. Abuyo, Scott Brown, 2012, Journal of vision.

A large-scale analysis of task switching practice effects across the lifespan

Scott D. Brown, Guy E. Hawkins, M. Steyvers, 2019, Proceedings of the National Academy of Sciences.

Going, going, gone: competitive decision-making in Dutch auctions

Scott D. Brown, M. Steyvers, S. Brown, 2020, Cognitive Research: Principles and Implications.

A theoretical analysis of the reward rate optimality of collapsing decision criteria

Scott D. Brown, Udo Boehm, Leendert van Maanen, 2019, Attention, Perception, & Psychophysics.

An integrated perspective on the relation between response speed and intelligence

Don van Ravenzwaaij, Scott D. Brown, Eric-Jan Wagenmakers, 2011, Cognition.

On the linear relation between the mean and the standard deviation of a response time distribution.

Scott D. Brown, E. Wagenmakers, S. Brown, 2007, Psychological review.

Revisiting the Evidence for Collapsing Boundaries and Urgency Signals in Perceptual Decision-Making

Scott D. Brown, Guy E. Hawkins, R. Ratcliff, 2015, The Journal of Neuroscience.

The design and analysis of state-trace experiments.

Scott D. Brown, S. Brown, A. Heathcote, 2012, Psychological methods.

Diffusion Decision Model: Current Issues and History

Scott D. Brown, Philip L. Smith, R. Ratcliff, 2016, Trends in Cognitive Sciences.

The Effects of Increased Visual Information on Cognitive Workload in a Helicopter Simulator

Scott D. Brown, Zachary L Howard, Zachary L. Howard, 2019, Hum. Factors.

Bayesian Inference for Evidence Accumulation Models with Regressors

Scott D. Brown, Guy E. Hawkins, R. Kohn, 2023, 2302.10389.

New estimation approaches for the hierarchical Linear Ballistic Accumulator model

Scott D. Brown, Guy E. Hawkins, R. Kohn, 2018, Journal of Mathematical Psychology.

Bayes factors for the linear ballistic accumulator model of decision-making

Scott D. Brown, Nathan J Evans, Scott D Brown, 2017, Behavior Research Methods.

Detecting and predicting changes

Scott D. Brown, M. Steyvers, S. Brown, 2009, Cognitive Psychology.

The Optimality of Sensory Processing during the Speed–Accuracy Tradeoff

Scott D. Brown, Leendert van Maanen, Eric-Jan Wagenmakers, 2012, The Journal of Neuroscience.

Cortico-striatal connections predict control over speed and accuracy in perceptual decision making

Scott D. Brown, R. Bogacz, E. Wagenmakers, 2010, Proceedings of the National Academy of Sciences.

A purely confirmatory replication study of structural brain-behavior correlations

Scott D. Brown, E. Wagenmakers, B. Forstmann, 2015, Cortex.

Not Just for Consumers

Scott D. Brown, J. Busemeyer, S. Brown, 2013, Psychological science.

Testing Formal Predictions of Neuroscientific Theories of ADHD With a Cognitive Model–Based Approach

Scott D. Brown, S. Brown, A. Heathcote, 2018, Journal of abnormal psychology.

Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract?

Birte U. Forstmann, John T. Serences, Scott D. Brown, 2011, Trends in Cognitive Sciences.

Quantile maximum likelihood estimation of response time distributions

Scott D. Brown, D. Mewhort, S. Brown, 2002, Psychonomic bulletin & review.

Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions

Thomas V. Wiecki, Scott D. Brown, G. Logan, 2013, Front. Psychol..

The Neural Substrate of Prior Information in Perceptual Decision Making: A Model-Based Analysis

Scott D. Brown, E. Wagenmakers, B. Forstmann, 2010, Front. Hum. Neurosci..

Quantitative Approaches to Skill Acquisition in Choice Tasks

Scott D. Brown, S. Brown, 2003 .

Domain General Mechanisms of Perceptual Decision Making in Human Cortex

Scott D. Brown, J. Serences, S. Brown, 2009, The Journal of Neuroscience.

The hare and the tortoise: emphasizing speed can change the evidence used to make decisions.

Scott D. Brown, S. Brown, A. Heathcote, 2014, Journal of experimental psychology. Learning, memory, and cognition.

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

Scott D. Brown, Zachary L Howard, Zachary L. Howard, 2019, Hum. Factors.

A purely confirmatory replication study of structural brain-behavior correlations

Scott D. Brown, E. Wagenmakers, B. Forstmann, 2015, Cortex.

Discriminating evidence accumulation from urgency signals in speeded decision making.

Scott D. Brown, Roger Ratcliff, Scott D Brown, 2015, Journal of neurophysiology.

UvA-DARE (Digital Academic Revisiting the evidence of collapsing boundaries and urgency signals in perceptual decision-making

Scott D. Brown, R. Ratcliff, E. Wagenmakers, 2015 .

Common ground for behavioural and neuroimaging research

Scott D. Brown, S. Brown, 2012 .

The Speed-Accuracy Tradeoff in the Elderly Brain: A Structural Model-Based Approach

Scott D. Brown, E. Wagenmakers, B. Forstmann, 2011, The Journal of Neuroscience.

A generative joint model for spike trains and saccades during perceptual decision-making

Scott D. Brown, M. Steyvers, S. Brown, 2016, Psychonomic bulletin & review.

Bayesian parametric estimation of stop-signal reaction time distributions.

Scott D. Brown, G. Logan, E. Wagenmakers, 2013, Journal of experimental psychology. General.

A Test of Bayesian Observer Models of Processing in the Eriksen Flanker Task Models of Flanker Processing

Scott D. Brown, Roger Ratcliff, Scott Brown, 2022 .

UvA-DARE ( Digital Academic Repository ) The speed-accuracy tradeoff in the elderly brain : a structural model-based approach

Scott D. Brown, E. Wagenmakers, B. Forstmann, 2022 .

Need for closure is associated with urgency in perceptual decision-making

Scott D. Brown, N. Evans, Maxim Bushmakin, 2017, Memory & Cognition.

Of monkeys and men: Impatience in perceptual decision-making

Scott D. Brown, Guy E. Hawkins, E. Wagenmakers, 2015, Psychonomic Bulletin & Review.

Brain and Behavior in Decision-Making

Scott D. Brown, A. Heathcote, Peter Cassey, 2014, PLoS Comput. Biol..

Andrew Heathcote, Scott D. Brown, Chris Donkin, 2009, Behavior research methods.

People adopt optimal policies in simple decision-making, after practice and guidance

Scott D. Brown, Nathan J Evans, Scott D Brown, 2017, Psychonomic bulletin & review.

Subtypes in 22q11.2 deletion syndrome associated with behaviour and neurofacial morphology.

Scott D. Brown, D. Murphy, P. Hammond, 2013, Research in developmental disabilities.

Evaluating the consequences of impaired monitoring of learned behavior in attention-deficit/hyperactivity disorder using a Bayesian hierarchical model of choice response time.

Scott D. Brown, S. Brown, C. Huang-Pollock, 2016, Neuropsychology.

The multiattribute linear ballistic accumulator model of context effects in multialternative choice.

Andrew Heathcote, Scott D. Brown, Scott D Brown, 2014, Psychological review.

The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models

Scott D. Brown, Guy E. Hawkins, E. Wagenmakers, 2017, Scientific Reports.

Refining the Law of Practice

Andrew Heathcote, Scott D. Brown, Nathan J Evans, 2018, Psychological review.

Intertrial RT variability affects level of target-related interference in cued task switching.

Scott D. Brown, A. Heathcote, F. Karayanidis, 2018, Psychophysiology.

Accumulating Advantages: A New Approach to Multialternative Forced Choice Tasks

Scott D. Brown, D. Ravenzwaaij, A. Heathcote, 2018 .

Switch-specific and general preparation map onto different ERP components in a task-switching paradigm.

Scott D. Brown, A. Heathcote, Bryan Paton, 2011, Psychophysiology.

Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability

Scott D. Brown, M. Steyvers, N. Evans, 2018, Cogn. Sci..

Decision speed induces context effects in choice.

Guy Hawkins, Scott D. Brown, Mark Steyvers, 2012, Experimental psychology.

ChoiceKey: A real-time speech recognition program for psychology experiments with a small response set

Scott D. Brown, A. Heathcote, C. Donkin, 2009, Behavior research methods.

Drawing conclusions from choice response time models : a 1 tutorial 2

Andrew Heathcote, Scott D. Brown, Chris Donkin, 2010 .

UvA-DARE (Digital Academic Repository) A theoretical analysis of the reward rate optimality of collapsing decision criteria

Scott D. Brown, E. Wagenmakers, N. Evans, 2022 .

The fragile nature of contextual preference reversals: Reply to Tsetsos, Chater, and Usher (2015).

Andrew Heathcote, Scott D. Brown, Scott D Brown, 2015, Psychological review.

UvA-DARE ( Digital Academic Repository ) The neural substrate of prior information in perceptual decision making : a model-based analysis

Birte U. Forstmann, Scott D. Brown, Jane Neumann, 2017 .

Gamelike features might not improve data

Scott D. Brown, Scott D Brown, Guy E. Hawkins, 2013, Behavior research methods.

Gamelike features might not improve data

Scott D. Brown, Guy E. Hawkins, K. Nesbitt, 2012, Behavior Research Methods.

Why is accurately labelling simple magnitudes so hard

Scott D. Brown, S. Brown, A. Heathcote, 2015 .

How is multi-tasking different from increased difficulty?

Scott D. Brown, Zachary L Howard, Zachary L. Howard, 2020, Psychonomic Bulletin & Review.

Scott D. Brown, E. Wagenmakers, B. Forstmann, 2012, Attention, perception & psychophysics.

The falsifiability of actual decision-making models.

Scott D. Brown, E. Wagenmakers, A. Heathcote, 2014, Psychological review.

Discriminating evidence accumulation from urgency signals in speeded 18 decision making 19-20

Scott D. Brown, Guy E. Hawkins, R. Ratcliff, 2015 .

The multiattribute linear ballistic accumulator model of context effects in multialternative choice.

Scott D. Brown, A. Heathcote, J. Trueblood, 2014, Psychological review.

Identifying relationships between cognitive processes across tasks, contexts, and time

Scott D. Brown, Guy E. Hawkins, R. Kohn, 2019, Behavior research methods.

Modeling Experimentally Induced Strategy Shifts

Pernille Hemmer, Scott D. Brown, Mark Steyvers, 2007, Psychological science.

Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions

Thomas V. Wiecki, Scott D. Brown, G. Logan, 2013, Front. Psychol..

Using best-worst scaling to improve psychological service delivery: an innovative tool for psychologists in organized care settings.

Scott D. Brown, Scott D Brown, Guy E. Hawkins, 2015, Psychological services.

Time-evolving psychological processes over repeated decisions.

Scott D. Brown, Guy E. Hawkins, R. Kohn, 2019, Psychological review.

Response Time Distributions [R package rtdists version 0.11-2]

Scott D. Brown, A. Heathcote, H. Singmann, 2020 .