Bayesian inference with probabilistic population codes

Cited by (1,001)

Items 501–600 of 1,001

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    Hansem Sohn, Devika Narain · 2021 · Current Opinion in Neurobiology
  2. From biophysics to cognition: reward-dependent adaptive choice behavior
    Alireza Soltani, Xiao‐Jing Wang · 2008 · Current Opinion in Neurobiology
  3. Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
    Jeffrey M. Beck, Alexandre Pouget, Katherine Heller · 2012 · Archive ouverte UNIGE (University of Geneva)
  4. Dopaminergic medication increases reliance on current information in Parkinson’s disease
    Vilares, Iris, Kording, Konrad P. · 2017 · Nature Human Behaviour
  5. Impoverished or rich consciousness outside attentional focus: Recent data tip the balance for Overflow
    Zohar Z. Bronfman, Hilla Jacobson, Marius Usher · 2018 · Mind & Language
  6. Multisensory Integration Uses a Real-Time Unisensory–Multisensory Transform
    Ryan L. Miller, Barry E. Stein, Benjamin A. Rowland · 2017 · Journal of Neuroscience
  7. Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making
    Robin Cao, Alexander Pastukhov, Stepan E. Aleshin, Maurizio Mattia, Jochen Braun · 2021 · eLife
  8. Error-based analysis of optimal tuning functions explains phenomena observed in sensory neurons
    Steve Yaeli · 2010 · Frontiers in Computational Neuroscience
  9. Continuous-valued probabilistic behavior in a VLSI generative model
    Hsin Chen, Patrice Fleury, Alan F. Murray · 2006 · IEEE Transactions on Neural Networks
  10. Illusory Tactile Motion Perception: An Analog of the Visual Filehne Illusion
    Alessandro Moscatelli, Vincent Hayward, Mark Wexler, Marc O. Ernst · 2015 · Scientific Reports
  11. A signature of neural coding at human perceptual limits
    Paul M. Bays · 2016 · Journal of Vision
  12. Performing Bayesian Inference with Exemplar Models
    Lei Shi, Naomi H. Feldman, Thomas L. Griffiths · 2008 · eScholarship (California Digital Library)
  13. Quickly “learning” to move optimally
    Brenner, Eli, Smeets, Jeroen B. J. · 2011 · Experimental Brain Research
  14. A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons
    Kim, HyungGoo R., Pitkow, Xaq, Angelaki, Dora E., DeAngelis, Gregory C. · 2016 · Journal of Neurophysiology
  15. Uncertainty in learning, choice, and visual fixation
    Hrvoje Stojić, Jacob Lund Orquin, Peter Dayan, Raymond J. Dolan, Maarten Speekenbrink · 2020 · Proceedings of the National Academy of Sciences
  16. Impact of supplementary sensory feedback on the control and embodiment in human movement augmentation
    Mattia Pinardi, Matthew R. Longo, Domenico Formica, Matija D. Strbac, Carsten Mehring, Etienne Burdet, Giovanni Di Pino · 2023 · Communications Engineering
  17. The Generalization of Prior Uncertainty during Reaching
    Hugo L. Fernandes, Ian H. Stevenson, Iris Vilares, Konrad Paul Kording · 2014 · Journal of Neuroscience
  18. Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection
    Rafał Bogacz, Eduardo Martin Moraud, Azzedine Abdi, Peter J. Magill, Jérôme Baufreton · 2016 · PLoS Computational Biology
  19. Decoding Information for Grasping from the Macaque Dorsomedial Visual Stream
    Matteo Filippini, Rossella Breveglieri, M. Ali Akhras, Annalisa Bosco, Eris Chinellato, Patrizia Fattori · 2017 · Journal of Neuroscience
  20. On the origin of intentions
    Jan de Ruiter, Matthijs Leendert Noordzij, Sarah E. Newman-Norlund, Peter Hagoort A, Ivan Toni · 1993 · Oxford University Press eBooks
  21. Multisensory Oddity Detection as Bayesian Inference
    Timothy M. Hospedales, Sethu Vijayakumar · 2009 · PLoS ONE
  22. Perception as an Inference Problem
    Bruno A. Olshausen · 2014 · The MIT Press eBooks
  23. Auditory and Visual Motion Processing and Integration in the Primate Cerebral Cortex
    Tristan A. Chaplin, Marcello G. P. Rosa, Leo L. Lui · 2018 · Frontiers in Neural Circuits
  24. Accuracy-Precision Trade-off in Human Sound Localisation
    Rachel Ege, A. John Van Opstal, Marc M. van Wanrooij · 2018 · Scientific Reports
  25. Attention to colors induces surround suppression at category boundaries
    Ming W. H. Fang, Mark W. Becker, Taosheng Liu · 2019 · Scientific Reports
  26. Neuronal Adaptation Reveals a Suboptimal Decoding of Orientation Tuned Populations in the Mouse Visual Cortex
    Miaomiao Jin, Jeffrey M. Beck, Lindsey L. Glickfeld · 2019 · Journal of Neuroscience
  27. Multi-agent modelling and situational awareness analysis of human-computer interaction in the aircraft cockpit: A case study
    Xia Zhang, Youchao Sun, Yanjun Zhang, Siyu Su · 2021 · Simulation Modelling Practice and Theory
  28. Multisensory decisions from self to world
    Adam Zaidel, Roy Salomon · 2023 · Philosophical Transactions of the Royal Society B Biological Sciences
  29. Optimal cue combination and landmark‐stability learning in the head direction system
    Kathryn J. Jeffery, Hector J. I. Page, Simon M. Stringer · 2016 · The Journal of Physiology
  30. Bayesian efficient coding
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  31. Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All
    Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen · 2018 · IEEE Transactions on Cybernetics
  32. Multisensory processing of redundant information in go/no-go and choice responses
    Steven P. Blurton, Mark W. Greenlee, Matthias Gondan · 2014 · Attention Perception & Psychophysics
  33. Inferring eye position from populations of lateral intraparietal neurons
    Arnulf B. A. Graf, Richard A. Andersen · 2014 · eLife
  34. Robust Bayesian Inference for Gas Identification in Electronic Nose Applications by Using Random Matrix Theory
    Muhammad Hassan, Amine Bermak · 2015 · IEEE Sensors Journal
  35. Bayesian modeling of the mind: From norms to neurons
    Michael Rescorla · 2020 · Wiley Interdisciplinary Reviews Cognitive Science
  36. Single Silicon Neuron Device Enabling Neuronal Oscillation and Stochastic Dynamics
    Doohyeok Lim, Kyoungah Cho, Sangsig Kim · 2021 · IEEE Electron Device Letters
  37. A neural implementation of Bayesian inference based on predictive coding
    Michael Spratling · 2016 · Connection Science
  38. Complex Probabilistic Inference
    Samuel Joseph Gershman, Jeffrey M. Beck · 2017 · Wiley eBooks
  39. Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons
    Wenhao Zhang, Si Wu, Krešimir Josić́, Brent Doiron · 2023 · Nature Communications
  40. An opponent striatal circuit for distributional reinforcement learning
    Adam S. Lowet, Zheng Qiao, Melissa Meng, Sara Matias, Jan Drugowitsch, Naoshige Uchida · 2025 · Nature
  41. Ecological expected utility and the mythical neural code
    Jerome A. Feldman · 2009 · Cognitive Neurodynamics
  42. Stochasticity from function — Why the Bayesian brain may need no noise
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  43. Sampling motion trajectories during hippocampal theta sequences
    Balázs B. Ujfalussy, Gergő Orbán · 2022 · eLife
  44. Statistically Optimal Cue Integration During Human Spatial Navigation
    Phillip M. Newman, Yafei Qi, Weimin Mou, Timothy P. McNamara · 2023 · Psychonomic Bulletin & Review
  45. Bayesian Integration of Information in Hippocampal Place Cells
    Tamas Madl, Stan Franklin, Ke Chen, Daniela Montaldi, Robert Trappl · 2014 · PLoS ONE
  46. Risk-Aware Control
    Terence D. Sanger · 2014 · Neural Computation
  47. Cue Reliability Represented in the Shape of Tuning Curves in the Owl's Sound Localization System
    Fanny Cazettes, Brian J. Fischer, José Luis Peña · 2016 · Journal of Neuroscience
  48. Joint representation of translational and rotational components of optic flow in parietal cortex
    Adhira Sunkara, Gregory C. DeAngelis, Dora E. Angelaki · 2016 · Proceedings of the National Academy of Sciences
  49. Transcranial electrical brain stimulation modulates neuronal tuning curves in perception of numerosity and duration
    Amir‐Homayoun Javadi, Iva K. Brunec, Vincent Walsh, W.D. Penny, Hugo J. Spiers · 2014 · NeuroImage
  50. Reliability-dependent contributions of visual orientation cues in parietal cortex
    Ari Rosenberg, Dora E. Angelaki · 2014 · Proceedings of the National Academy of Sciences
  51. Inferring Visuomotor Priors for Sensorimotor Learning
    Edward J. A. Turnham, Daniel A. Braun, Daniel M. Wolpert · 2011 · PLoS Computational Biology
  52. Multisensory Bayesian Inference Depends on Synapse Maturation during Training: Theoretical Analysis and Neural Modeling Implementation
    Mauro Ursino, Cristiano Cuppini, Elisa Magosso · 2017 · Neural Computation
  53. 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
  54. The Visual System's Internal Model of the World
    Tai Sing Lee · 2015 · Proceedings of the IEEE
  55. Representation of 3-D surface orientation by velocity and disparity gradient cues in area MT
    Takahisa M. Sanada, Jerry D. Nguyenkim, Gregory C. DeAngelis · 2012 · Journal of Neurophysiology
  56. A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system
    Bernhard A. Kaplan, Anders Lansner · 2014 · Frontiers in Neural Circuits
  57. Encoding natural scenes with neural circuits with random thresholds
    Aurel A. Lazar, Eftychios A. Pnevmatikakis, Yiyin Zhou · 2010 · Vision Research
  58. Accumulation and decay of visual capture and the ventriloquism aftereffect caused by brief audio-visual disparities
    Adam K. Bosen, Justin T. Fleming, Paul D. Allen, William E. O‘Neill, Gary D. Paige · 2016 · Experimental Brain Research
  59. The development of Bayesian integration in sensorimotor estimation
    Claire Chambers, Taegh Sokhey, Deborah J Gaebler-Spira, Konrad Paul Kording · 2018 · Journal of Vision
  60. Proscription supports robust perceptual integration by suppression in human visual cortex
    Rideaux, Reuben, Welchman, Andrew E. · 2018 · Nature Communications
  61. Rational thoughts in neural codes
    Wu, Zhengwei, Kwon, Minhae, Daptardar, Saurabh, Schrater, Paul, Pitkow, Xaq · 2020 · Proceedings of the National Academy of Sciences
  62. Pure tones modulate the representation of orientation and direction in the primary visual cortex
    John P. McClure, Pierre‐Olivier Polack · 2019 · Journal of Neurophysiology
  63. Using the past to estimate sensory uncertainty
    Ulrik Beierholm, Tim Rohe, Ambra Ferrari, Oliver Stegle, Uta Noppeney · 2020 · eLife
  64. Active Neural Mapping
    Zike Yan, Haoxiang Yang, Hongbin Zha · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  65. Too Good to be True? Ideomotor Theory from a Computational Perspective
    Oliver Herbort, Martin V. Butz · 2012 · Frontiers in Psychology
  66. Bayesian Cue Integration as a Developmental Outcome of Reward Mediated Learning
    Thomas H. Weisswange, Constantin A. Rothkopf, Tobias Rodemann, Jochen Triesch · 2011 · PLoS ONE
  67. Auditory Evoked Potentials and Their Utility in the Assessment of Complex Sound Processing
    Mitchell Steinschneider, Catherine Liégeois‐Chauvel, John F. Brugge · 2010 · Springer eBooks
  68. Prediction of Reach Goals in Depth and Direction from the Parietal Cortex
    Matteo Filippini, Rossella Breveglieri, Kostas Hadjidimitrakis, Annalisa Bosco, Patrizia Fattori · 2018 · Cell Reports
  69. Modeling subjective belief states in computational psychiatry: interoceptive inference as a candidate framework
    Xiaosi Gu, Thomas H. B. FitzGerald, Karl John Friston · 2019 · Psychopharmacology
  70. Response sub-additivity and variability quenching in visual cortex
    Robbe L. T. Goris, Ruben Coen-Cagli, Kenneth D. Miller, Nicholas J. Priebe, Máté Lengyel · 2024 · Nature reviews. Neuroscience
  71. What can neurons do for their brain? Communicate selectivity with bursts
    David Balduzzi, Giulio Tononi · 2012 · Theory in Biosciences
  72. Neural scaling laws for an uncertain world.
    Marc W. Howard, Karthik H. Shankar · 2017 · Psychological Review
  73. Bayesian decision theory and navigation
    Timothy P. McNamara, Xiaoli Chen · 2021 · Psychonomic Bulletin & Review
  74. A theory of autism bridging across levels of description
    Jean‐Paul Noel, Dora E. Angelaki · 2023 · Trends in Cognitive Sciences
  75. The Misinformation Receptivity Framework
    Leor Zmigrod, Ryan Burnell, Michael Hameleers · 2023 · European Psychologist
  76. Poisson or Not Poisson: Differences in Spike Train Statistics between Parietal Cortical Areas
    Bruno B. Averbeck · 2009 · Neuron
  77. Optimal Decision Making on the Basis of Evidence Represented in Spike Trains
    Jiaxiang Zhang, Rafał Bogacz · 2009 · Neural Computation
  78. Information processing and decision-making: Evidence from the brain sciences and implications for economics
    Isabelle Brocas · 2012 · Journal of Economic Behavior & Organization
  79. Interval timing, temporal averaging, and cue integration
    Benjamin J. De Corte, Matthew S. Matell · 2016 · Current Opinion in Behavioral Sciences
  80. Population Code Dynamics in Categorical Perception
    Chihiro I. Tajima, Satohiro Tajima, Kowa Koida, Hidehiko Komatsu, Kazuyuki Aihara, Hideyuki Suzuki · 2016 · Scientific Reports
  81. Precision, Not Confidence, Describes the Uncertainty of Perceptual Experience: Comment on John Morrison's “Perceptual Confidence”
    Rachel N. Denison · 2017 · Analytic Philosophy
  82. Sensory noise predicts divisive reshaping of receptive fields
    Matthew Chalk, Paul Masset, Sophie Denève, Boris S Gutkin · 2017 · PLoS Computational Biology
  83. Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets
    Charles B. Delahunt, Jeffrey A. Riffell, J. Nathan Kutz · 2018 · Frontiers in Computational Neuroscience
  84. Can the Brain Build Probability Distributions?
    Marcus Lindskog, Pär Nyström, Gustaf Gredebäck · 2021 · Frontiers in Psychology
  85. Responses of neurons in the marmoset primary auditory cortex to interaural level differences: comparison of pure tones and vocalizations
    Leo L. Lui, Yasamin Mokri, David H. Reser, Marcello G. P. Rosa, Ramesh Rajan · 2015 · Frontiers in Neuroscience
  86. Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
    Yanping Huang, Rajesh P. N. Rao · 2014 · neural information processing systems
  87. The spectral identity of foveal cones is preserved in hue perception
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  88. Spatially Specific Working Memory Activity in the Human Superior Colliculus
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  89. Uncertainty is maintained and used in working memory
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  90. Revealing nonlinear neural decoding by analyzing choices
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  91. Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation
    Martin Takac, Ľubica Beňušková, Alistair Knott · 2012 · Cognition
  92. Attention Protects the Fidelity of Visual Memory: Behavioral and Electrophysiological Evidence
    Huang J. Jie, Robert Sekuler · 2010 · Journal of Neuroscience
  93. How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
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  94. Contrast dependency and prior expectations in human speed perception
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  95. Experience-dependent homeostasis of ‘noise’ at inhibitory synapses preserves information coding in adult visual cortex
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  96. Neural representation of probabilities for Bayesian inference
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  97. Confidence through consensus: a neural mechanism for uncertainty monitoring
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  98. Nucleus basalis stimulation enhances working memory by stabilizing stimulus representations in primate prefrontal cortical activity
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  100. Complexity and specificity of experimentally-induced expectations in motion perception
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