Diffusion decision model: Current issues and history

Ratcliff, Roger, Smith, Philip L., Brown, Scott D., McKoon, Gail·2016·Trends in Cognitive Sciences

Cited by (1,004)

Items 201–300 of 1,004

  1. Towards a common conceptual space for metacognition in perception and memory
    Audrey Mazancieux, Michael Pereira, Nathan Faivre, Pascal Mamassian, Chris J. A. Moulin, Céline Souchay · 2023 · Nature Reviews Psychology
  2. Personalized brain stimulation for effective neurointervention across participants
    Nienke E. R. van Bueren, Thomas Reed, V. Nguyen, James G. Sheffield, S. V. D. van der Ven, Michael A. Osborne, E. Kroesbergen, Roi Cohen Kadosh · 2021 · PLoS Comput. Biol.
  3. Temporal oscillations in preference strength provide evidence for an open system model of constructed preference
    Peter D. Kvam, J. Busemeyer, T. Pleskac · 2021 · Scientific Reports
  4. Vision as oculomotor reward: cognitive contributions to the dynamic control of saccadic eye movements
    Christian Wolf, Markus Lappe · 2021 · Cognitive Neurodynamics
  5. A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure
    Carlo Baldassi, Simone Cerreia‐Vioglio, Fabio Maccheroni, Mássimo Marinacci, Marco Pirazzini · 2020 · Management Science
  6. Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
    Esin Karahan, Alison G. Costigan, Kim S. Graham, Andrew D. Lawrence, Jiaxiang Zhang · 2019 · Journal of Neuroscience
  7. Modeling distracted performance
    Guy E. Hawkins, Matthias Mittner, Birte U. Forstmann, Andrew Heathcote · 2019 · Cognitive Psychology
  8. Mine or mother’s? Exploring the self-ownership effect across cultures
    Marius Golubickis, Nerissa Siu Ping Ho, Johanna K. Falbén, Kirsten M. Mackenzie, Angela Boschetti, William A. Cunningham, C. Neil Macrae · 2018 · Culture and Brain
  9. Correlation of Neural Activity with Behavioral Kinematics Reveals Distinct Sensory Encoding and Evidence Accumulation Processes During Active Tactile Sensing
    I. Delis, J. Dmochowski, P. Sajda, Qi Wang · 2018 · NeuroImage
  10. A Neuroeconomic Framework for Creative Cognition
    Hause Lin, Oshin A. Vartanian · 2018 · Perspectives on Psychological Science
  11. A leaky evidence accumulation process for perceptual experience
    Michael Pereira, Denis Perrin, Nathan Faivre · 2022 · Trends in Cognitive Sciences
  12. Valence and ownership: object desirability influences self-prioritization
    Marius Golubickis, Nerissa Siu Ping Ho, Johanna K. Falbén, Carlotta L. Schwertel, Alessia Maiuri, Dagmara Dublas, William A. Cunningham, C. Neil Macrae · 2019 · Psychological Research
  13. Phenotypic variability predicts decision accuracy in unicellular organisms
    A. Dussutour, Q. Ma, D. Sumpter · 2019 · Proceedings of the Royal Society B
  14. New estimation approaches for the hierarchical Linear Ballistic Accumulator model
    David Gunawan, Guy E. Hawkins, Minh‐Ngoc Tran, Robert Kohn, Scott D. Brown · 2020 · Journal of Mathematical Psychology
  15. Sensitivity-Aware Amortized Bayesian Inference
    Lasse Elsemüller, Hans Olischläger, M. Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev · 2023 · Trans. Mach. Learn. Res.
  16. A Cognitive Computational Approach to Social and Collective Decision-Making
    Alan Novaes Tump, Dominik Deffner, Timothy Joseph Pleskac, Paweł Romańczuk, Ralf H. J. M. Kurvers · 2023 · Perspectives on Psychological Science
  17. Electrophysiological correlates of self-prioritization
    Jie Sui, Xun He, Marius Golubickis, Saga L. Svensson, C. Neil Macrae · 2023 · Consciousness and Cognition
  18. Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings
    Benjamin W. Domingue, Klint Kanopka, Ben Stenhaug, Michael J. Sulik, Tanesia Beverly, Matthieu J. S. Brinkhuis, Ruhan Circi, Jessica D. Faul, Dandan Liao, Bruce D. McCandliss et al. · 2022 · Journal of Educational and Behavioral Statistics
  19. DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data
    I. Mackenzie, Carolin Dudschig · 2021 · Methods in Psychology
  20. A multiattribute attentional drift diffusion model
    Geoffrey Fisher · 2021 · Organizational Behavior and Human Decision Processes
  21. Evidence or Confidence: What Is Really Monitored during a Decision?
    Douglas G. Lee, Jean Daunizeau A, Giovanni Pezzulo · 2023 · Psychonomic Bulletin & Review
  22. Evidence and Urgency Related EEG Signals during Dynamic Decision-Making in Humans
    Y. Yau, T. Hinault, M. Taylor, P. Cisek, L. Fellows, A. Dagher · 2020 · Journal of Neuroscience
  23. A Neural Pathway for Nonreinforced Preference Change
    Tom Schönberg, Leor N. Katz · 2020 · Trends in Cognitive Sciences
  24. When humans behave like monkeys: Feedback delays and extensive practice increase the efficiency of speeded decisions
    Nathan J. Evans, Guy E. Hawkins · 2018 · Cognition
  25. Developmental trajectory of social influence integration into perceptual decisions in children
    Imogen Large, Elizabeth Pellicano, Andreas Mojzisch, Kristine Krug · 2019 · Proceedings of the National Academy of Sciences
  26. Conflicts of interest improve collective computation of adaptive social structures
    Eleanor Redstart Brush, David C. Krakauer, Jessica C. Flack · 2018 · Science Advances
  27. The Willpower Paradox: Possible and Impossible Conceptions of Self-Control
    Thomas Goschke, Veronika Job · 2023 · Perspectives on Psychological Science
  28. Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM
    Alexander Fengler, Krishn Bera, Mads L. Pedersen, Michael J. Frank · 2022 · Journal of Cognitive Neuroscience
  29. The effect of information from dash-based human-machine interfaces on drivers' gaze patterns and lane-change manoeuvres after conditionally automated driving.
    R. Gonçalves, Tyron L. Louw, R. Madigan, Manuela Quaresma, R. Romano, N. Merat · 2022 · Accident Analysis and Prevention
  30. Attentional economics links value-modulated attentional capture and decision-making
    Daniel Pearson, Poppy Watson, Lucy Albertella, Mike E. Le Pelley · 2022 · Nature Reviews Psychology
  31. Magnitude-sensitivity: rethinking decision-making
    Angelo Pirrone, Andreagiovanni Reina, Tom Stafford, James A. R. Marshall, Fernand R. Gobet · 2021 · Trends in Cognitive Sciences
  32. Extreme hitting probabilities for diffusion
    Samantha Linn, S. Lawley · 2021 · Journal of Physics A: Mathematical and Theoretical
  33. Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model
    Inhan Kang, Paul A. L. de Boeck, Roger Ratcliff · 2022 · Psychometrika
  34. A rational model of people's inferences about others' preferences based on response times.
    Vael Gates, Frederick Callaway, Mark K. Ho, Thomas L. Griffiths · 2021 · Cognition
  35. Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis
    Hongce Zhang, Maxwell Shinn, Aarti Gupta, A. Gurfinkel, Nham Le, Nina Narodytska · 2020 · European Conference on Artificial Intelligence
  36. Decision Making and Oddball Effects on Pupil Size: Evidence for a Sequential Process
    Christoph Strauch, Ina Marie Koniakowsky, Anke Huckauf · 2020 · Journal of Cognition
  37. A geometric framework for modeling dynamic decisions among arbitrarily many alternatives
    Peter D. Kvam · 2018 · Journal of Mathematical Psychology
  38. Dynamic cognitive models of intertemporal choice
    Junyi Dai, Timothy Joseph Pleskac, Thorsten Pachur · 2018 · Cognitive Psychology
  39. Functional modular architecture underlying attentional control in aging
    Zachary A. Monge, Benjamin R. Geib, Rachel E. Siciliano, Lauren E. Packard, Catherine W. Tallman, David J. Madden · 2017 · NeuroImage
  40. The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis
    Joel T. Nigg, Sarah L. Karalunas, Michael A. Mooney, Beth Wilmot, Molly A. Nikolas, Michelle M. Martel, Jessica M. Tipsord, Elizabeth K. Nousen, Colleen F. Schmitt, Peter Ryabinin et al. · 2023 · Developmental Cognitive Neuroscience
  41. Same same but different: Subtle but consequential differences between two measures to linearly integrate speed and accuracy (LISAS vs. BIS)
    Heinrich R. Liesefeld, Markus Janczyk · 2022 · Behavior Research Methods
  42. Cognitive Modeling With Representations From Large-Scale Digital Data
    Sudeep Bhatia, Ada Aka · 2022 · Current Directions in Psychological Science
  43. The statistics of optimal decision making: Exploring the relationship between signal detection theory and sequential analysis
    Thom Griffith, Sophie-Anne Baker, Nathan F. Lepora · 2021 · Journal of Mathematical Psychology
  44. Age-related differences in visual encoding and response strategies contribute to spatial memory deficits
    Vladislava Segen, Marios N. Avraamides, Timothy J. Slattery, Jan Malte Wiener · 2020 · Memory & Cognition
  45. The role of premature evidence accumulation in making difficult perceptual decisions under temporal uncertainty
    Ciara A. Devine, Christine Gaffney, Gerard M. Loughnane, Simon P Kelly, Redmond G O’Connell · 2019 · eLife
  46. Testing Models of Human Declarative Memory at the Single-Neuron Level
    Ueli Rutishauser · 2019 · Trends in Cognitive Sciences
  47. Combining error-driven models of associative learning with evidence accumulation models of decision-making
    David K. Sewell, Hayley K. Jach, Russell James Boag, Christina Van Heer · 2019 · Psychonomic Bulletin & Review
  48. Paradoxical Decision-Making: A Framework for Understanding Cognition in Parkinson’s Disease
    Alessandra Perugini, Jochen Ditterich, Aasef G. Shaikh, Barbara Jean Knowlton, Michele A. Basso · 2018 · Trends in Neurosciences
  49. Stubborn Predictions in Primary Visual Cortex
    Daniel Yon, Emily R. Thomas, Sam J. Gilbert, Floris P. de Lange, Peter Kok, Clare Press · 2023 · Journal of Cognitive Neuroscience
  50. The role of task-relevant and task-irrelevant information in congruency sequence effects: Applying the diffusion model for conflict tasks
    Valentin Koob, Ian Grant Mackenzie, Rolf Ulrich, Hartmut Leuthold, Markus Janczyk · 2022 · Cognitive Psychology
  51. Psychological mechanisms of loss aversion: A drift-diffusion decomposition
    Wenjia Joyce Zhao, Lukasz Walasek, Sudeep Bhatia · 2020 · Cognitive Psychology
  52. Qualitative speed-accuracy tradeoff effects that cannot be explained by the diffusion model under the selective influence assumption
    Farshad Rafiei, Dobromir Rahnev · 2021 · Scientific Reports
  53. Comparison of Markov versus quantum dynamical models of human decision making.
    J. Busemeyer, Peter D. Kvam, T. Pleskac · 2020 · Wiley Interdisciplinary Reviews: Cognitive Science
  54. Mimicry cannot explain rejection type in a host–brood parasite system
    M. Šulc, J. Troscianko, Gabriela Štětková, Anna E. Hughes, Václav Jelínek, Miroslav Capek, M. Honza · 2019 · Animal Behaviour
  55. Deterministic response strategies in a trial-and-error learning task
    Holger Mohr, Katharina Zwosta, Dimitrije Marković, Sebastian Bitzer, Uta Wolfensteller, Hannes Ruge · 2018 · PLoS Computational Biology
  56. The effects of sleep deprivation on item and associative recognition memory.
    Roger Ratcliff, Hans P. A. Van Dongen · 2017 · Journal of Experimental Psychology Learning Memory and Cognition
  57. Acquisition and use of “priors” in autism: typical in deciding where to look, atypical in deciding what is there
    Allenmark, Fredrik, Shi, Zhuanghua, Pistorius, Rasmus L., Theisinger, Laura A., Koutsouleris, Nikolaos, Falkai, Peter, Müller, Hermann J., Falter-Wagner, Christine M. · 2021 · Journal of Autism and Developmental Disorders
  58. Using precision approaches to improve brain-behavior prediction
    Hyejin J. Lee, Ally Dworetsky, Nathan Labora, Caterina Gratton · 2024 · Trends in Cognitive Sciences
  59. Time pressure reduces misinformation discrimination ability but does not alter response bias
    Mubashir Sultan, A. Tump, Michael Geers, Philipp Lorenz-Spreen, S. Herzog, R. Kurvers · 2022 · Scientific Reports
  60. The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task
    Gabriel Wainstein, Daniel Rojas‐Líbano, Vicente Medel, Dag Alnæs, Knut K. Kolskår, Tor Endestad, Bruno Laeng, Tomás Ossandón, Nicolas Andres Crossley, Elie Matar et al. · 2021 · Network Neuroscience
  61. Category salience and racial bias in weapon identification: A diffusion modeling approach.
    Andrew R. Todd, D. A. Johnson, Bethany Lassetter, Rebecca Neel, Austin J. Simpson, Joseph Cesario · 2020 · Journal of Personality and Social Psychology
  62. Response time modeling reveals multiple contextual cuing mechanisms
    David K. Sewell, Ben Colagiuri, Evan James Livesey · 2017 · Psychonomic Bulletin & Review
  63. Loss Aversion Reflects Information Accumulation, Not Bias: A Drift-Diffusion Model Study
    Summer N. Clay, John A. Clithero, Alison M. Harris, Catherine L. Reed · 2017 · Frontiers in Psychology
  64. Clinical Applications of Stochastic Dynamic Models of the Brain, Part II: A Review
    James A. Roberts, Karl John Friston, Michael J Breakspear · 2017 · Biological Psychiatry Cognitive Neuroscience and Neuroimaging
  65. A General Integrative Neurocognitive Modeling Framework to Jointly Describe EEG and Decision-making on Single Trials
    Amin Ghaderi-Kangavari, Jamal Amani Rad, Michael D. Nunez · 2023 · Computational Brain & Behavior
  66. A Deep Learning Method for Comparing Bayesian Hierarchical Models
    Lasse Elsemuller, Martin Schnuerch, Paul-Christian Burkner, Stefan T. Radev · 2023 · Psychological methods
  67. Multinomial Logit Processes and Preference Discovery: Inside and Outside the Black Box
    Simone Cerreia‐Vioglio, Fabio Maccheroni, Mássimo Marinacci, Aldo Rustichini · 2022 · The Review of Economic Studies
  68. An accumulation of preference: Two alternative dynamic models for understanding transport choices
    Thomas O. Hancock, S. Hess, A. Marley, C. Choudhury · 2021 · Transportation Research Part B: Methodological
  69. Cognitive modeling informs interpretation of go/no-go task-related neural activations and their links to externalizing psychopathology
    A. Weigard, M. Soules, Bailey Ferris, R. Zucker, C. Sripada, M. Heitzeg · 2019 · bioRxiv
  70. All Categories Are Equal, but Some Categories Are More Equal Than Others: The Psychometric Structure of Object and Face Cognition
    Dominik-Borna Ćepulić, O. Wilhelm, W. Sommer, A. Hildebrandt · 2018 · Journal of Experimental Psychology. Learning, Memory and Cognition
  71. Timing of readiness potentials reflect a decision-making process in the human brain
    K. Lui, Michael D. Nunez, Jessica M. Cassidy, J. Vandekerckhove, S. Cramer, R. Srinivasan · 2018 · Computational Brain & Behavior
  72. A martingale analysis of first passage times of time-dependent Wiener diffusion models
    Vaibhav Srivastava, Samuel Franklin Feng, Jonathan D. Cohen, Naomi Ehrich Leonard, Amitai Shenhav · 2016 · Journal of Mathematical Psychology
  73. Annual Review of Psychology Quantum Cognition
    E. Pothos, J. Busemeyer · 2022
  74. Modeling evidence accumulation decision processes using integral equations: Urgency-gating and collapsing boundaries.
    Philip Leigh Smith, Roger Ratcliff · 2021 · Psychological Review
  75. A Diffusion Model Approach for Understanding the Impact of 17 Interventions on the Race Implicit Association Test
    J. Röhner, C. Lai · 2020 · Personality and Social Psychology Bulletin
  76. It’s not always about me: The effects of prior beliefs and stimulus prevalence on self–other prioritisation
    Johanna K. Falbén, Marius Golubickis, Darja Wischerath, Dimitra Tsamadi, Linn M. Persson, Siobhan Caughey, Saga L. Svensson, C. Neil Macrae · 2020 · Quarterly Journal of Experimental Psychology
  77. At the Zebra Crossing: Modelling Complex Decision Processes with Variable-Drift Diffusion Models
    Oscar T. Giles, G. Markkula, J. Pekkanen, Naoki Yokota, Naoto Matsunaga, N. Merat, T. Daimon · 2019 · Annual Meeting of the Cognitive Science Society
  78. Evidence accumulation during perceptual decision-making is sensitive to the dynamics of attentional selection
    Dragan Rangelov, J. Mattingley · 2019 · bioRxiv
  79. Vehicle fleet electrification and its effects on the global warming potential of highway pavements in the United States
    Hamed Barkh, Alanna Yu, Devon Friend, Parsa Shani, Qingshi Tu, O. Swei · 2022 · Resources, Conservation and Recycling
  80. Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex
    Pierre O. Boucher, Tian Wang, Laura Carceroni, Gary A. Kane, K.V. Shenoy, Chandramouli Chandrasekaran · 2023 · Nature Communications
  81. A functional theory of bistable perception based on dynamical circular inference
    Pantelis Leptourgos, Vincent Bouttier, Renaud Jardri, Sophie Denève · 2020 · PLoS Computational Biology
  82. Application of Quantum—Markov Open System Models to Human Cognition and Decision
    J. Busemeyer, Qizi Zhang, S. Balakrishnan, Z. Wang · 2020 · Entropy
  83. Self-relevance enhances evidence gathering during decision-making
    Johanna K. Falbén, Marius Golubickis, Skomantas Tamulaitis, Siobhan Caughey, Dimitra Tsamadi, Linn M. Persson, Saga L. Svensson, Arash Sahraie, C. Neil Macrae · 2020 · Acta Psychologica
  84. What I see is what I want: Top-down attention biasing choice behavior
    M. Vriens, Chad Vidden, J. Schomaker · 2020 · Journal of Business Research
  85. Working memory involvement in reaction time and its contribution to fluid intelligence: An examination of individual differences in reaction-time distributions
    N. Meiran, Nitzan Shahar · 2018 · Intelligence
  86. Inhibition of Pre–Supplementary Motor Area by Continuous Theta Burst Stimulation Leads to More Cautious Decision-making and More Efficient Sensory Evidence Integration
    Tuğçe Tosun, Dilara Berkay, Alexander Thomas Sack, Yusuf Özgür Çakmak, Fuat Balcı · 2017 · Journal of Cognitive Neuroscience
  87. Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
    Alvaro Arroyo, Álvaro Cartea, Xiaowen Dong, Fernando Moreno-Pino, Harrison Waldon · 2024 · Neural Information Processing Systems
  88. Neural superstatistics for Bayesian estimation of dynamic cognitive models
    Lukas Schumacher, Paul‐Christian Bürkner, Andreas Voß, Ullrich Köthe, Stefan T. Radev · 2023 · Scientific Reports
  89. Peer presence increases the prosocial behavior of adolescents by speeding the evaluation of outcomes for others
    Nicolette J. Sullivan, Rosa Li, Scott A. Huettel · 2022 · Scientific Reports
  90. A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making
    Pouyan Rafiei Fard, Hame Park, Andrej Warkentin, Stefan J. Kiebel, Sebastian Bitzer · 2017 · Frontiers in Computational Neuroscience
  91. Conflict adaptation in positive and negative mood: Applying a success-failure manipulation.
    Stefanie Schuch, Jana Zweerings, Patricia Hirsch, I. Koch · 2017 · Acta Psychologica
  92. Mitigating choice overload: The interactive effects of set size and overall preference revealed by hierarchical drift diffusion modeling and electroencephalography
    Xiaoyang Huang, Sihua Xu · 2025 · NeuroImage
  93. Unraveling information processes of decision-making with eye-tracking data
    Chih-Chung Ting, Sebastian Gluth · 2024 · Frontiers in Behavioral Economics
  94. The gated cascade diffusion model: An integrated theory of decision making, motor preparation, and motor execution.
    Edouard Dendauw, Nathan J. Evans, Gordon D. Logan, Émmanuel Haffen, Djamila Bennabi, Thibault Gajdos, Mathieu Servant · 2024 · Psychological Review
  95. Factors that amplify and attenuate egocentric mentalizing
    Andrew R. Todd, Diana Tamir · 2024 · Nature Reviews Psychology
  96. The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times.
    Jian-Qiao Zhu, Joakim Sundh, Jake Spicer, Nick Chater A, Adam N. Sanborn · 2023 · Psychological Review
  97. Evidence accumulation modelling in the wild: understanding safety-critical decisions
    Russell James Boag, Luke Joseph Gough Strickland, Andrew Heathcote, Andrew F. Neal, Hector Palada, Shayne D. Loft · 2022 · Trends in Cognitive Sciences
  98. Avoiding costly mistakes in groups: The evolution of error management in collective decision making
    A. Tump, Max Wolf, Pawel Romanczuk, R. Kurvers · 2021 · PLoS Comput. Biol.
  99. Intra‐individual variability in task performance after cognitive training is associated with long‐term outcomes in children
    Ana Cubillo, Henning Hermes, Eva Berger, Kirsten Winkel, Daniel Schunk, Ernst Fehr, Todd Anthony Hare · 2022 · Developmental Science
  100. Dopamine and Risky Decision-Making in Gambling Disorder
    J. Peters, Taylor A. Vega, Dawn Weinstein, Jennifer M. Mitchell, Andrew S. Kayser · 2020 · eNeuro