Not Noisy, Just Wrong: The Role of Suboptimal Inference in Behavioral Variability

Beck, Jeffrey M., Ma, Wei Ji, Pitkow, Xaq, Latham, Peter E., Pouget, Alexandre·2012·Neuron
DOI 10.1016/j.neuron.2012.03.016

Cited by (315)

Items 201–300 of 315

  1. Auditory accessory stimulus boosts pupil-linked arousal and reduces choice bias
    B.M. Bruel, V.G. Katopodis, Ralph de Vries, Tobias H. Donner, Matthew J. McGinley, Jan Willem de Gee · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  2. An educated guess: how coral reef fish make decisions under uncertainty
    Cait Newport, Adélaïde Sibeaux, Guy Michael Wallis, Lucas Wilkins, Theresa Burt de Perera · 2024 · Animal Behaviour
  3. The Difficulty of Effectively Using Allocentric Prior Information in a Spatial Recall Task
    James Negen, Laura‐Ashleigh Bird, Eleanor King, Marko Nardini A · 2020 · Scientific Reports
  4. Instance-based generalization for human judgments about uncertainty
    Philipp Schustek, Rubén Moreno‐Bote · 2018 · PLoS Computational Biology
  5. Samples of Cyanobacterium Calothrix sp. ISC 65 Collected from Oil Polluted Regions Respond to Combined Effects of Salinity, Extremely Low-Carbon Dioxide Concentration and Irradiance
    H.S. Amirlatifi, Sh. Shokravi, Aryan Sateei, Mazyar Ahmadi Golsefidi, Mehrali Mahmoudjanlo · 2018 · International Journal on Algae
  6. Visual Decisions in the Presence of Measurement and Stimulus Correlations
    Manisha Bhardwaj, Samuel R. Carroll, Wei Ji Ma, Krešimir Josić́ · 2015 · Neural Computation
  7. Control in living systems : an exploration of the cybernetic properties of interactive behaviour
    Heather C. Bell · 2013 · Open ULeth Scholarship (OPUS) (University of Lethbridge)
  8. Perception in a Variable but Structured World: The Case of Speech Perception
    Dave Kleinschmidt · 2017
  9. Perceptual decision-making as probabilistic inference by neural sampling
    Ralf M. Haefner, Pietro Berkes, József Fiser · 2014 · arXiv (Cornell University)
  10. The psychophysics of visual search with heterogeneous distractors
    Andra Mihali, Wei Ji Ma · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  11. RTNet neural network exhibits the signatures of human perceptual decision making
    Farshad Rafiei, Medha Shekhar, Dobromir Rahnev · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  12. Discretized representations in V1 predict suboptimal orientation discrimination
    Julien Corbo, O. Batuhan Erkat, John McClure, Hussain Y. Khdour, Pierre‐Olivier Polack · 2025 · Nature Communications
  13. Computational geometric tools for quantitative comparison of locomotory behavior
    Matthew T. Stamps, Soo Go, A. Mathuru · 2019 · Scientific Reports
  14. Using recurrent neural network to estimate irreducible stochasticity in human choice behavior
    Yoav Ger, Moni Shahar, Nitzan Shahar · 2024 · eLife
  15. The representational instability in the generalization of fear learning
    Kenny Yu, Wolf Vanpaemel, Francis Tuerlinckx, Jonas Zaman · 2024 · npj Science of Learning
  16. Collective action or individual choice: Spontaneity and individuality contribute to decision-making in Drosophila
    Isabelle Steymans, Luciana Mercedes Pujol-Lereis, Björn Brembs, Ezequiel Axel Gorostiza · 2021 · PLoS ONE
  17. Beyond Scalar Timing Theory: Integrating Neural Oscillators with Computational Accessibility in Memory
    Zhuanghua Shi, Bon-Mi Gu, Stefan Glasauer, Warren H. Meck · 2022 · Timing & Time Perception
  18. Biological Aspects of Perceptual Space Formation
    Michael Pecka, Christian Leibold, Benedikt Grothe · 2020 · Modern acoustics and signal processing
  19. Loss of information in feedforward social networks
    Simon Stolarczyk, Manisha Bhardwaj, Kevin E. Bassler, Wei Ji Ma, Krešimir Josić́ · 2017 · Journal of Complex Networks
  20. Markov Transitions between Attractor States in a Recurrent Neural Network.
    Jeremy Bernstein, Ishita Dasgupta, David Rolnick, Haim Sompolinsky · 2017 · National Conference on Artificial Intelligence
  21. Probabilistic Inference and Bayesian Priors in Visual Perception
    Grigorios Sotiropoulos, Peggy Seriès · 2015 · Wiley eBooks
  22. Disentangling Perceptual and Process-Related Sources of Behavioral Variability in Categorization
    Florian Ismael Seitz, Jana Bianca Jarecki, Jörg Rieskamp, Bettina von Helversen · 2025 · Perspectives on Psychological Science
  23. Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression
    C. Daniel Greenidge, Benjamin Scholl, Jacob L. Yates, Jonathan W. Pillow · 2023 · Neural Computation
  24. How does V1 population activity inform perceptual certainty?
    Zoe M. Boundy-Singer, Corey M. Ziemba, Olivier J. Hénaff, Robbe L. T. Goris · 2024 · Journal of Vision
  25. Outcome Modulation Across Tasks in the Primate Dorsolateral Prefrontal Cortex
    Encarni Marcos, Simon Nougaret, Satoshi Tsujimoto, Aldo Genovesio · 2017 · Neuroscience
  26. Model-free robust optimal feedback mechanisms of biological motor control
    Tao Bian, Zhong‐Ping Jiang · 2016 · World Congress on Intelligent Control and Automation
  27. A resource-rational theory of set size effects in visual working memory
    Ronald van den Berg, Wei Ji Ma · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  28. Separating random and deterministic sources of computational noise in explore-exploit decisions
    Siyu Wang, Robert C. Wilson · 2018
  29. Similar computational noise for perceptual decision making with confidence, expectation, and reward
    Yunxuan Zheng, Kai Xue, Medha Shekhar, Dobromir Rahnev · 2024
  30. Above the Mean: Examining Variability in Behavioral and Neural Responses to Multisensory Stimuli
    Sarah H. Baum, Hans Colonius, Antonia Thelen, Cristiano Micheli, Mark T. Wallace · 2016 · Multisensory Research
  31. Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks
    Zhichao Zhu, Yang Qi, Lu Wenlian, Zhigang Wang, Lu Cao, Jianfeng Feng · 2025 · Neural Computation
  32. Phasic and tonic arousal distinctly shape human decision bias
    Stijn Adriaan Nuiten, Jan Willem de Gee, Jasper Brian Zantvoord, Philipp Sterzer, Johannes J. Fahrenfort, Simon van Gaal · 2026 · Communications Biology
  33. Phasic arousal optimizes decision computations in mice and humans
    Jan Willem de Gee, Konstantinos Tsetsos, Lars Schwabe, Anne E Urai, David A. McCormick, Matthew J. McGinley, Tobias H. Donner · 2020 · eLife
  34. Why are the batteries in the microwave?: Use of semantic information under uncertainty in a search task
    Gwendolyn Rehrig, Michelle Cheng, Brian McMahan, Rahul Shome · 2021 · Cognitive Research Principles and Implications
  35. Measuring correlates of perceptual decisions in mouse visual cortex
    Christopher Burgess · 2016 · UCL Discovery (University College London)
  36. Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving.
    Sisi Li, Nan Li, Anouck Girard, Ilya V. Kolmanovsky · 2019 · arXiv (Cornell University)
  37. Inferring sources of suboptimality in perceptual decision making using a causal inference task
    Sabyasachi Shivkumar, Madeline S. Cappelloni, Ross K. Maddox, Ralf M. Haefner · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  38. Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior
    Yoav Ger, Moni Shahar, Nitzan Shahar · 2023
  39. Lossy encoding of distributions in judgment under uncertainty
    Tadeg Quillien, Neil R Bramley, Christopher G. Lucas · 2025 · Cognitive Psychology
  40. Multisensory integration in chaotic networks
    Adam P.D. Ponzi, Keisuke Suzuki · 2025 · Neural Networks
  41. Sensory integration, temporal prediction, and rule discovery reflect interdependent inference processes
    Lucas Benjamin, Benjamin Morillon, Valentin Wyart · 2026 · Proceedings of the National Academy of Sciences
  42. Motor Variability as a Predictor of Strength Adaptation: The Role of Complexity in Resistance Training
    Miguel López-Fernández, Fernando García-Aguilar, Carla Caballero, Francisco J. Moreno, Rafael Sabido · 2026 · The Journal of Strength and Conditioning Research
  43. Culture as a Response to Uncertainty
    Philippe N. Tobler, George I. Christopoulos · 2016 · Oxford University Press eBooks
  44. Learning what to expect
    Peggy Seriès, Aaron R. Seitz · 2013
  45. Rationalizing subjective probability distortions.
    Nisheeth Srivastava, Ed Vul · 2017 · eScholarship (California Digital Library)
  46. Sampling as a resource-rational constraint
    Adam N. Sanborn, Jian-Qiao Zhu, Jake Spicer, Nick Chater A · 2020 · Behavioral and Brain Sciences
  47. Empirical Identification of Non-stationary Dynamics in Time Series of Recordings
    Emili Balaguer‐Ballester, Alejandro Tabas, Marcin Budka · 2014 · Lecture notes in computer science
  48. Exploration of sensory-motor tradeoff behavior in Parkinson’s disease
    Sonal Sengupta, W. Pieter Medendorp, Luc P. J. Selen, Peter Praamstra · 2022 · Frontiers in Human Neuroscience
  49. The geometry of correlated variability leads to highly suboptimal discriminative sensory coding
    Jesse A. Livezey, Pratik Sachdeva, Maximilian E. Dougherty, Mathew T. Summers, Kristofer E. Bouchard · 2024 · Journal of Neurophysiology
  50. Probabilistic brains: knowns and
    Jeffrey M. Beck, Wei Ji Ma, Peter E. Latham · 2013
  51. Although optimal models are useful, optimality claims are not that common
    Claire Chambers, Konrad Paul Kording · 2018 · Behavioral and Brain Sciences
  52. Samples of cyanobacterium Calothrix sp. ISC 65 collected from oil polluted regions respond to combined effects of salinity, extremely low-carbon dioxide concentration and irradiance
    H.S. Amirlatifi, Shadman Shokravi, Aryan Sateei, Mazyar Ahmadi Golsefidi, Mehrali Mahmoudjanlo · 2018 · Algologia
  53. How the brain might work: statistics flowing in redundant population codes
    Xaq Pitkow, Dora E. Angelaki · 2017 · arXiv (Cornell University)
  54. Bayesian transfer in a complex spatial localisation task
    Reneta Kiryakova, Stacey Aston, Ulrik Beierholm, Marko Nardini A · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  55. Learning from invariants predicts upcoming behavioral choice from spiking activity in monkey V1
    Veronika Koren, Ariana R. Andrei, Ming Hu, Valentin Dragoi, Klaus Obermayer · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  56. Normative decision asymmetries with symmetric priors but asymmetric evidence
    Tahra L. Eissa, Joshua I. Gold, K. Josić, Z. Kilpatrick · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  57. Beyond Nudging: Generalisable and transferable learning in human decision-making
    Andreas Jarvstad · 2021
  58. Not optimal, just noisy: the geometry of correlated variability leads to highly suboptimal sensory coding
    Jesse A. Livezey, Pratik Sachdeva, Maximilian E. Dougherty, Mathew T. Summers, Kristofer E. Bouchard · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  59. Goal-directed recruitment of Pavlovian biases through selective visual attention
    Johannes Algermissen, Hanneke E.M. den Ouden · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  60. Why are the batteries in the microwave?: Use of semantic information under uncertainty in a search task
    Gwendolyn Rehrig, Michelle Cheng, Brian McMahan, Rahul Shome · 2020
  61. Categorical Decisions
    Paul Masset, Ádám Kepecs · 2014 · Encyclopedia of Computational Neuroscience
  62. RTNet: A neural network that exhibits the signatures of human perceptual decision making
    Farshad Rafiei, Dobromir Rahnev · 2022 · Research Square
  63. Multisensory integration across reference frames with additive feed-forward networks
    Arefeh Farahmandi, Parisa Abedi Khoozani, Gunnar Blohm · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  64. Efficient Population Coding
    Matthias Bethge · 2014 · Encyclopedia of Computational Neuroscience
  65. UNCERTAINTY AND DECISION-MAKING IN THE HUMAN BRAIN
    Iris Vilares · 2013 · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
  66. Somatosensory perceptual maps of electrocutaneous stimulation
    Peter J. Steenbergen · 2013
  67. A Probabilistic, Distributed, Recursive Mechanism for Decision-making in the Brain
    Javier A. Caballero, Mark D. Humphries, Kevin N. Gurney · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
  68. Uncertainty in olfactory decision-making
    M. Inês Vicente · 2015 · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
  69. Probability by Time
    Xaq Pitkow · 2016 · Neuron
  70. Classification Bayesian models of orientation identification with the known reference
    Renyu Ye, Xinsheng Liu · 2017 · International Congress on Image and Signal Processing (CISP)
  71. Sensorimotor decision-making with moving objects
    David Aguilar‐Lleyda · 2017 · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
  72. A normative account of choice history effects in mice and humans
    Junior Samuel López-Yépez, Juliane Martin, Oliver J. Hulme, Duda Kvitsiani · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  73. Postural effects on arm movement variability are idiosyncratic and feedback-dependent
    Preyaporn Phataraphruk, Qasim Rahman, Kishor Lakshminarayanan, Mitchell Fruchtman, Christopher A. Buneo · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  74. Limits on Predictability of Risky Choice Behavior.
    Anjali Sifar, Nisheeth Srivastava · 2020 · eScholarship (California Digital Library)
  75. A framework for analyzing global Caenorhabditis elegans neural activity
    Iulia Rusu, Zachary T. Cecere, Javier J. How, Kathleen T Quach, Eviatar Yemini, Tatyana O. Sharpee, Sreekanth H. Chalasani · 2026 · eLife
  76. Motion processing in children with autism
    Catherine Manning · 2014 · IOE EPrints
  77. Feature representation under crowding in V1 and V4 neuronal populations
    Christopher A. Henry, Adam Kohn · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  78. Faculty Opinions recommendation of Scaling of sensory information in large neural populations shows signatures of information-limiting correlations.
    Geoffrey J. Goodhill, Shuyu Zhu · 2021 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
  79. Efficient Population Coding
    Matthias Bethge · 2015 · Encyclopedia of Computational Neuroscience
  80. While optimal models are useful, optimality claims are not that common.
    Claire Chambers, Konrad Paul Kording · 2018
  81. Categorical Decisions
    Paul Masset, Ádám Kepecs · 2015 · Encyclopedia of Computational Neuroscience
  82. Efficient Population Coding
    Matthias Bethge · 2022 · Encyclopedia of Computational Neuroscience
  83. Categorical Decisions
    Paul Masset, Ádám Kepecs · 2022 · Encyclopedia of Computational Neuroscience
  84. The role of framing, agency and uncertainty in a focus-divide dilemma
    Justin Claydon, Warren R. G. James, Alasdair D. F. Clarke, Amelia R. Hunt · 2023 · Memory & Cognition
  85. Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior
    Yoav Ger, Moni Shahar, Nitzan Shahar · 2024 · eLife
  86. Subjective confidence modulates individual BOLD patterns of predictive processing
    André Hechler, Floris P. de Lange, Valentin Riedl · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  87. Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior
    Yoav Ger, Moni Shahar, Nitzan Shahar · 2024 · eLife
  88. Reviewer #2 (Public Review): Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior
    2024 · eLife
  89. eLife Assessment: Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior
    Joshua I. Gold · 2024 · eLife
  90. Author response: Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior
    Yoav Ger, Moni Shahar, Nitzan Shahar · 2024 · eLife
  91. Reviewer #1 (Public Review): Using recurrent neural network to estimate irreducible stochasticity in human choice-behavior
    2024 · eLife
  92. Structured neural fluctuations can generate noise invariance and inter-areal gating at distinct timescales
    Jorrit Steven Montijn, J. Alexander Heimel · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  93. Weber’s law and natural inference
    Jeffrey M. Beck, Ingmar Kanitscheider, Guillaume Dehaene, Alexandre Pouget · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  94. Learning is a fundamental source of individuality
    Riddha Manna, Johanni Brea, Gonçalo Vasconcelos Braga, Alireza Modirshanechi, Ivan Tomić, Ana Marija Jakšić · 2026 · eLife
  95. Major sources of computational complexity in complex decision-making
    Jan Drugowitsch, Alexandre Pouget · 2024
  96. Metrics of two-dimensional smooth pursuit are diverse across participants and stable across days
    Yao Yan, Yilin Wu, Hoi Ming Ken Yip, Nicholas S. C. Price · 2025 · Journal of Vision
  97. How sub-optimal are the neural representations: show me your null model
    Movitz Lenninger, Arvind Kumar · 2025 · Journal of Neurophysiology
  98. Lossy encoding of distributions in judgment under uncertainty
    Tadeg Quillien, Neil R Bramley, Christopher G. Lucas · 2025
  99. How to make a decision? Trust the wisdom of the masses
    Celine M. Cammarata, Lindsey L. Glickfeld · 2025 · Neuron
  100. ‘Are you sure?’ The importance of understanding your own sensory uncertainty
    Ulrik Beierholm, Marko Nardini A · 2025 · Proceedings of the Royal Society B Biological Sciences