A Bayesian View of Sensory Conflicts in Decision-Making March 3 , 2006 1 Introduction

Decisional conflicts abound in sensory processing and perce tual decision-making, and they arise from diverse sources . These conflicts can result directly from conflicting informa tion in the sensory inputs themselves – such as conflicts between modalities in the Stroop task, between spatially ad jacent stimuli in the Eriksen task, or between the eyes in the binocular rivalry task. Another class of conflicts is mor e indirect, as when there are multiple, conflicting interpre tations consistent with the same sensory-evoked neural inp uts. Examples of this latter type include multi-stable visu al displays, and contexts in which the semantical relationshi p among sensory objects are non-stationary over time.

[1]  Peter Dayan,et al.  Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity , 2003, Neural Computation.

[2]  Philip L. Smith,et al.  Psychology and neurobiology of simple decisions , 2004, Trends in Neurosciences.

[3]  Rajesh P. N. Rao Bayesian Computation in Recurrent Neural Circuits , 2004, Neural Computation.

[4]  Angela J. Yu,et al.  Uncertainty, Neuromodulation, and Attention , 2005, Neuron.

[5]  M. Carandini,et al.  Summation and division by neurons in primate visual cortex. , 1994, Science.

[6]  Alexandre Pouget,et al.  Probabilistic Interpretation of Population Codes , 1996, Neural Computation.

[7]  Cameron S. Carter,et al.  Dopamine and the mechanisms of cognition: Part I. A neural network model predicting dopamine effects on selective attention , 1998, Biological Psychiatry.

[8]  Herbert Heuer,et al.  Different error types and error processing in spatial stimulus-response-compatibility tasks: behavioural and electrophysiological data , 2000, Biological Psychology.

[9]  L. Abbott,et al.  A model of multiplicative neural responses in parietal cortex. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Peter Dayan,et al.  Norepinephrine and Neural Interrupts , 2005, NIPS.

[11]  C. H. Anderson,et al.  Unifying Perspectives on Neuronal Codes and Processing , 1996, ICANN.

[12]  T. Bayes LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S , 1763, Philosophical Transactions of the Royal Society of London.

[13]  J. Wolfowitz,et al.  Optimum Character of the Sequential Probability Ratio Test , 1948 .

[14]  Jonathan D. Cohen,et al.  The neural basis of error detection: conflict monitoring and the error-related negativity. , 2004, Psychological review.

[15]  J. Andel Sequential Analysis , 2022, The SAGE Encyclopedia of Research Design.