A computational analysis of the neural bases of Bayesian inference
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[1] E. John,et al. Evoked-Potential Correlates of Stimulus Uncertainty , 1965, Science.
[2] S. Kelly,et al. A supramodal accumulation-to-bound signal that determines perceptual decisions in humans , 2012, Nature Neuroscience.
[3] E. T. Jaynes,et al. How Does the Brain Do Plausible Reasoning , 1988 .
[4] Colin Camerer,et al. Neural Response to Reward Anticipation under Risk Is Nonlinear in Probabilities , 2009, The Journal of Neuroscience.
[5] Joaquín M. Fuster. The Prefrontal Cortex Makes the Brain a Preadaptive System , 2014, Proceedings of the IEEE.
[6] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[7] Jonathan R. Folstein,et al. Influence of cognitive control and mismatch on the N2 component of the ERP: a review. , 2007, Psychophysiology.
[8] Colin Camerer,et al. A framework for studying the neurobiology of value-based decision making , 2008, Nature Reviews Neuroscience.
[9] Hugo L. Fernandes,et al. Differential Representations of Prior and Likelihood Uncertainty in the Human Brain , 2012, Current Biology.
[10] Berrin Maraşligil,et al. İnsanlarda Yenilik N2 Yanıtı Hedef Uyaranların Zamansal Sınıflamasını Yansıtır , 2011 .
[11] R. Heuser. Surprise, surprise , 2014, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.
[12] R. Poldrack,et al. Prospect Theory and the Brain , 2009 .
[13] David M. Grether,et al. Testing Bayes Rule and the Representativeness Heuristic: Some Experimental Evidence , 1992 .
[14] Stanislas Dehaene,et al. Accumulation of Evidence during Sequential Decision Making: The Importance of Top–Down Factors , 2010, The Journal of Neuroscience.
[15] S. Quartz,et al. Neural Differentiation of Expected Reward and Risk in Human Subcortical Structures , 2006, Neuron.
[16] Hiroshi Nittono,et al. Motivational significance and cognitive effort elicit different late positive potentials , 2015, Clinical Neurophysiology.
[17] David J. Weiss,et al. Conservatism in a Simple Probability Inference Task , 2008 .
[18] W. Schultz,et al. The Human Brain Encodes Event Frequencies While Forming Subjective Beliefs , 2013, The Journal of Neuroscience.
[19] Christian P. Robert,et al. The Bayesian choice : from decision-theoretic foundations to computational implementation , 2007 .
[20] E. Donchin,et al. Parsing the late positive complex: mental chronometry and the ERP components that inhabit the neighborhood of the P300. , 2004, Psychophysiology.
[21] Karl J. Friston,et al. Modelling Trial-by-Trial Changes in the Mismatch Negativity , 2013, PLoS Comput. Biol..
[22] Robert L. Wolpert,et al. Statistical Inference , 2019, Encyclopedia of Social Network Analysis and Mining.
[23] J. O'Doherty,et al. The Role of the Ventromedial Prefrontal Cortex in Abstract State-Based Inference during Decision Making in Humans , 2006, The Journal of Neuroscience.
[24] J. Polich. Updating P 300 : An Integrative Theory of P 3 a and P 3 b , 2009 .
[25] Daniel R. Cavagnaro,et al. Discriminating among probability weighting functions using adaptive design optimization , 2013, Journal of risk and uncertainty.
[26] A. Tversky,et al. Prospect theory: analysis of decision under risk , 1979 .
[27] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[28] Konrad Kording,et al. Annals of the New York Academy of Sciences Bayesian Models: the Structure of the World, Uncertainty, Behavior, and the Brain , 2022 .
[29] D. Knill,et al. The Bayesian brain: the role of uncertainty in neural coding and computation , 2004, Trends in Neurosciences.
[30] L. Maloney,et al. The Neural Correlates of Subjective Utility of Monetary Outcome and Probability Weight in Economic and in Motor Decision under Risk , 2011, The Journal of Neuroscience.
[31] S. Kelly,et al. Internal and External Influences on the Rate of Sensory Evidence Accumulation in the Human Brain , 2013, The Journal of Neuroscience.
[32] A. Pouget,et al. Probabilistic brains: knowns and unknowns , 2013, Nature Neuroscience.
[33] E. Donchin. Presidential address, 1980. Surprise!...Surprise? , 1981, Psychophysiology.
[34] R. Poldrack,et al. Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk. , 2005, Brain research. Cognitive brain research.
[35] Xiao-Jing Wang,et al. Synaptic computation underlying probabilistic inference , 2010, Nature Neuroscience.
[36] Simon Haykin,et al. On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other , 2014, Proceedings of the IEEE.
[37] Michael N. Shadlen,et al. Probabilistic reasoning by neurons , 2007, Nature.
[38] S. Hillyard,et al. Electrophysiology of Cognition , 2011 .
[39] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[40] A. Tversky,et al. Prospect theory: an analysis of decision under risk — Source link , 2007 .
[41] Gregory S. Berns,et al. Nonlinear neurobiological probability weighting functions for aversive outcomes , 2008, NeuroImage.
[42] Karl J. Friston. The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.
[43] D. M. Grether,et al. Bayes Rule as a Descriptive Model: The Representativeness Heuristic , 1980 .
[44] C. Summerfield,et al. A Neural Representation of Prior Information during Perceptual Inference , 2008, Neuron.
[45] Rajesh P. N. Rao,et al. Bayesian brain : probabilistic approaches to neural coding , 2006 .
[46] R. Baierlein. Probability Theory: The Logic of Science , 2004 .
[47] Emily Bell,et al. Striatal topography of probability and magnitude information for decisions under uncertainty , 2012, NeuroImage.
[48] Karl J. Friston,et al. Bayesian model selection for group studies , 2009, NeuroImage.
[49] Colin Camerer,et al. Behavioral / Systems / Cognitive Dopamine D 1 Receptors and Nonlinear Probability Weighting in Risky Choice , 2010 .
[50] Johan A. du Preez,et al. Audio-Visual Speech Recognition using SciPy , 2010 .
[51] B. Kopp,et al. Electrophysiological indicators of surprise and entropy in dynamic task-switching environments , 2013, Front. Hum. Neurosci..
[52] P. Dayan,et al. Goals and Habits in the Brain , 2013, Neuron.
[53] E. Donchin,et al. Is the P300 component a manifestation of context updating? , 1988, Behavioral and Brain Sciences.
[54] Colin Camerer,et al. Neuroeconomics: decision making and the brain , 2008 .
[55] E Donchin,et al. A new method for off-line removal of ocular artifact. , 1983, Electroencephalography and clinical neurophysiology.
[56] Tim Fingscheidt,et al. A Model-Based Approach to Trial-By-Trial P300 Amplitude Fluctuations , 2013, Front. Hum. Neurosci..
[57] Claude E. Shannon,et al. The mathematical theory of communication , 1950 .
[58] Stefan J. Kiebel,et al. Evidence for neural encoding of Bayesian surprise in human somatosensation , 2012, NeuroImage.
[59] S. Luck. An Introduction to the Event-Related Potential Technique , 2005 .
[60] A. Clark. Whatever next? Predictive brains, situated agents, and the future of cognitive science. , 2013, The Behavioral and brain sciences.
[61] Karl J. Friston,et al. Classical and Bayesian Inference in Neuroimaging: Theory , 2002, NeuroImage.
[62] D. Ruchkin,et al. Toward a functional categorization of slow waves. , 1988, Psychophysiology.
[63] Karl J. Friston,et al. Observing the Observer (II): Deciding When to Decide , 2010, PloS one.
[64] Marco Steinhauser,et al. The neural basis of belief updating and rational decision making. , 2014, Social cognitive and affective neuroscience.
[65] Peter N. C. Mohr,et al. Neural Processing of Risk , 2010, The Journal of Neuroscience.
[66] Peter Bossaerts,et al. Risk and risk prediction error signals in anterior insula , 2010, Brain Structure and Function.
[67] L. Garcia-Larrea,et al. P3, positive slow wave and working memory load: a study on the functional correlates of slow wave activity. , 1998, Electroencephalography and clinical neurophysiology.
[68] R. Dolan,et al. Knowing how much you don't know: a neural organization of uncertainty estimates , 2012, Nature Reviews Neuroscience.
[69] Daeyeol Lee,et al. Functional Specialization of the Primate Frontal Cortex during Decision Making , 2007, The Journal of Neuroscience.
[70] Christopher D. Fiorillo,et al. Beyond Bayes: On the Need for a Unified and Jaynesian Definition of Probability and Information within Neuroscience , 2012, Inf..
[71] Daniel S. Ruchkin,et al. The Late Positive Complex , 1984, Annals of the New York Academy of Sciences.
[72] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[73] George I. Christopoulos,et al. Neuronal Distortions of Reward Probability without Choice , 2008, The Journal of Neuroscience.
[74] Bruno B Averbeck,et al. Parietal Cortex and Insula Relate to Evidence Seeking Relevant to Reward-Related Decisions , 2011, The Journal of Neuroscience.
[75] Hang Zhang,et al. Ubiquitous Log Odds: A Common Representation of Probability and Frequency Distortion in Perception, Action, and Cognition , 2012, Front. Neurosci..
[76] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[77] William D. Penny,et al. Comparing Dynamic Causal Models using AIC, BIC and Free Energy , 2012, NeuroImage.
[78] A. Tversky,et al. Advances in prospect theory: Cumulative representation of uncertainty , 1992 .
[79] Karl J. Friston,et al. Variational free energy and the Laplace approximation , 2007, NeuroImage.
[80] Richard Gonzalez,et al. On the Shape of the Probability Weighting Function , 1999, Cognitive Psychology.
[81] Lionel Rigoux,et al. VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data , 2014, PLoS Comput. Biol..
[82] Sharon Bertsch McGrayne,et al. The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy , 2011 .
[83] Karl J. Friston,et al. A theory of cortical responses , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[84] Pierre Baldi,et al. Of bits and wows: A Bayesian theory of surprise with applications to attention , 2010, Neural Networks.
[85] E. Donchin,et al. Spatiotemporal analysis of the late ERP responses to deviant stimuli. , 2001, Psychophysiology.
[86] Karl J. Friston,et al. Comparing hemodynamic models with DCM , 2007, NeuroImage.
[87] Raymond J. Dolan,et al. Information theory, novelty and hippocampal responses: unpredicted or unpredictable? , 2005, Neural Networks.
[88] Christopher Summerfield,et al. Building Bridges between Perceptual and Economic Decision-Making: Neural and Computational Mechanisms , 2012, Front. Neurosci..
[89] Jacqueline A. Rushby,et al. An orienting reflex perspective on anteriorisation of the P3 of the event-related potential , 2006, Experimental Brain Research.
[90] Philip Seeman,et al. The Dopamine D1 Receptors , 1992 .
[91] J. Polich. Updating P300: An integrative theory of P3a and P3b , 2007, Clinical Neurophysiology.
[92] Karl J. Friston,et al. Comparing dynamic causal models , 2004, NeuroImage.
[93] Karl J. Friston,et al. Comparing Families of Dynamic Causal Models , 2010, PLoS Comput. Biol..
[94] Daniel S. Ruchkin,et al. N250 latency and decision time , 1980 .
[95] A. Verschoor,et al. The probability weighting function: experimental evidence from Uganda, India and Ethiopia , 2004 .
[96] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[97] Floris P. de Lange,et al. Prior Expectations Evoke Stimulus Templates in the Primary Visual Cortex , 2014, Journal of Cognitive Neuroscience.
[98] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[99] S. Nieuwenhuis,et al. The anatomical and functional relationship between the P3 and autonomic components of the orienting response. , 2011, Psychophysiology.
[100] S. Quartz,et al. Human Insula Activation Reflects Risk Prediction Errors As Well As Risk , 2008, The Journal of Neuroscience.
[101] D. Friedman,et al. The novelty P3: an event-related brain potential (ERP) sign of the brain's evaluation of novelty , 2001, Neuroscience & Biobehavioral Reviews.
[102] G. Casella,et al. Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.
[103] Wei Ji Ma,et al. Probabilistic brains: knowns and , 2013 .
[104] Robert T. Knight,et al. Think differently: a brain orienting response to task novelty , 2002, Neuroreport.