Optimal Prediction of Moving Sound Source Direction in the Owl.

Capturing nature's statistical structure in behavioral responses is at the core of the ability to function adaptively in the environment. Bayesian statistical inference describes how sensory and prior information can be combined optimally to guide behavior. An outstanding open question of how n...

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Main Authors: Weston Cox, Brian J Fischer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-07-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4520615?pdf=render
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author Weston Cox
Brian J Fischer
author_facet Weston Cox
Brian J Fischer
author_sort Weston Cox
collection DOAJ
description Capturing nature's statistical structure in behavioral responses is at the core of the ability to function adaptively in the environment. Bayesian statistical inference describes how sensory and prior information can be combined optimally to guide behavior. An outstanding open question of how neural coding supports Bayesian inference includes how sensory cues are optimally integrated over time. Here we address what neural response properties allow a neural system to perform Bayesian prediction, i.e., predicting where a source will be in the near future given sensory information and prior assumptions. The work here shows that the population vector decoder will perform Bayesian prediction when the receptive fields of the neurons encode the target dynamics with shifting receptive fields. We test the model using the system that underlies sound localization in barn owls. Neurons in the owl's midbrain show shifting receptive fields for moving sources that are consistent with the predictions of the model. We predict that neural populations can be specialized to represent the statistics of dynamic stimuli to allow for a vector read-out of Bayes-optimal predictions.
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spelling doaj.art-4773a36f492d4914be34287709ac4ce22022-12-21T23:02:17ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582015-07-01117e100436010.1371/journal.pcbi.1004360Optimal Prediction of Moving Sound Source Direction in the Owl.Weston CoxBrian J FischerCapturing nature's statistical structure in behavioral responses is at the core of the ability to function adaptively in the environment. Bayesian statistical inference describes how sensory and prior information can be combined optimally to guide behavior. An outstanding open question of how neural coding supports Bayesian inference includes how sensory cues are optimally integrated over time. Here we address what neural response properties allow a neural system to perform Bayesian prediction, i.e., predicting where a source will be in the near future given sensory information and prior assumptions. The work here shows that the population vector decoder will perform Bayesian prediction when the receptive fields of the neurons encode the target dynamics with shifting receptive fields. We test the model using the system that underlies sound localization in barn owls. Neurons in the owl's midbrain show shifting receptive fields for moving sources that are consistent with the predictions of the model. We predict that neural populations can be specialized to represent the statistics of dynamic stimuli to allow for a vector read-out of Bayes-optimal predictions.http://europepmc.org/articles/PMC4520615?pdf=render
spellingShingle Weston Cox
Brian J Fischer
Optimal Prediction of Moving Sound Source Direction in the Owl.
PLoS Computational Biology
title Optimal Prediction of Moving Sound Source Direction in the Owl.
title_full Optimal Prediction of Moving Sound Source Direction in the Owl.
title_fullStr Optimal Prediction of Moving Sound Source Direction in the Owl.
title_full_unstemmed Optimal Prediction of Moving Sound Source Direction in the Owl.
title_short Optimal Prediction of Moving Sound Source Direction in the Owl.
title_sort optimal prediction of moving sound source direction in the owl
url http://europepmc.org/articles/PMC4520615?pdf=render
work_keys_str_mv AT westoncox optimalpredictionofmovingsoundsourcedirectionintheowl
AT brianjfischer optimalpredictionofmovingsoundsourcedirectionintheowl