Bayesian Criterion Update with Working Memory Explains the Trial-to-trial Variability of Perceptual Decision and Cortical Representation of Decision Uncertainty

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[1]  C. Marzban.  The ROC Curve and the Area under It as Performance Measures , 2004 .

[2]  M. Shadlen,et al.  Choice Certainty Is Informed by Both Evidence and Decision Time , 2014, Neuron.

[3]  A. Tolias,et al.  Trial-to-trial, uncertainty-based adjustment of decision boundaries in visual categorization , 2013, Proceedings of the National Academy of Sciences.

[4]  R. Blake,et al.  Dissociation between Neural Signatures of Stimulus and Choice in Population Activity of Human V1 during Perceptual Decision-Making , 2014, The Journal of Neuroscience.

[5]  Geoffrey M. Boynton,et al.  Efficient Design of Event-Related fMRI Experiments Using M-Sequences , 2002, NeuroImage.

[6]  M. Treisman,et al.  A criterion setting theory of discrimination learning that accounts for anisotropies and context effects. , 2010, Seeing and perceiving.

[7]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[8]  Daniel M. Oppenheimer,et al.  The Effect of Relative Encoding on Memory-Based Judgments , 2016, Psychological science.

[9]  Konrad Paul Kording,et al.  Bayesian integration in sensorimotor learning , 2004, Nature.

[10]  D. M. Green,et al.  Variability and sequential effects in cross-modality matching of area and loudness. , 1980, Journal of experimental psychology. Human perception and performance.

[11]  Randolph Blake,et al.  Pupil size dynamics during fixation impact the accuracy and precision of video-based gaze estimation , 2016, Vision Research.

[12]  Elyse H. Norton,et al.  Suboptimal Criterion Learning in Static and Dynamic Environments , 2017, PLoS Comput. Biol..

[13]  Merav Ahissar,et al.  How Recent History Affects Perception: The Normative Approach and Its Heuristic Approximation , 2012, PLoS Comput. Biol..

[14]  Stanislas Dehaene,et al.  The neural basis of the Weber–Fechner law: a logarithmic mental number line , 2003, Trends in Cognitive Sciences.

[15]  G. Lockhead,et al.  Sequential effects in absolute judgments of loudness , 1968 .

[16]  J. Macke,et al.  Appendix to ‘ Quantifying the effect of inter-trial dependence on perceptual decisions ’ , 2014 .

[17]  David A. Medler,et al.  Neural correlates of sensory and decision processes in auditory object identification , 2004, Nature Neuroscience.

[18]  Mark A. Straccia,et al.  Anterior Cingulate Engagement in a Foraging Context Reflects Choice Difficulty, Not Foraging Value , 2014, Nature Neuroscience.

[19]  P. Glimcher,et al.  JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR 2005, 84, 555–579 NUMBER 3(NOVEMBER) DYNAMIC RESPONSE-BY-RESPONSE MODELS OF MATCHING BEHAVIOR IN RHESUS MONKEYS , 2022 .

[20]  D J Heeger,et al.  Robust multiresolution alignment of MRI brain volumes , 2000, Magnetic resonance in medicine.

[21]  J. Duyn,et al.  Investigation of Low Frequency Drift in fMRI Signal , 1999, NeuroImage.

[22]  Neil Stewart,et al.  Psychophysics and the judgment of price: Judging complex objects on a non-physical dimension elicits sequential effects like those in perceptual tasks , 2009, Judgment and Decision Making.

[23]  Gordon D. A. Brown,et al.  Absolute identification by relative judgment. , 2005, Psychological review.

[24]  S Mori,et al.  Pure feedback effects in absolute identification , 1995, Perception & psychophysics.

[25]  Karl J. Friston,et al.  Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.

[26]  Nick Chater,et al.  Sequence effects in categorization of simple perceptual stimuli. , 2002, Journal of experimental psychology. Learning, memory, and cognition.