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Neural Substrates and Models of Omission Responses and Predictive Processes

Predictive coding theories argue that deviance detection phenomena, such as mismatch responses and omission responses, are generated by predictive processes with possibly overlapping neural substrates. Molecular imaging and electrophysiology studies of mismatch responses and corollary discharge in t...

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Detalles Bibliográficos
Autores principales: Braga, Alessandro, Schönwiesner, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844463/
https://www.ncbi.nlm.nih.gov/pubmed/35177967
http://dx.doi.org/10.3389/fncir.2022.799581
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author Braga, Alessandro
Schönwiesner, Marc
author_facet Braga, Alessandro
Schönwiesner, Marc
author_sort Braga, Alessandro
collection PubMed
description Predictive coding theories argue that deviance detection phenomena, such as mismatch responses and omission responses, are generated by predictive processes with possibly overlapping neural substrates. Molecular imaging and electrophysiology studies of mismatch responses and corollary discharge in the rodent model allowed the development of mechanistic and computational models of these phenomena. These models enable translation between human and non-human animal research and help to uncover fundamental features of change-processing microcircuitry in the neocortex. This microcircuitry is characterized by stimulus-specific adaptation and feedforward inhibition of stimulus-selective populations of pyramidal neurons and interneurons, with specific contributions from different interneuron types. The overlap of the substrates of different types of responses to deviant stimuli remains to be understood. Omission responses, which are observed both in corollary discharge and mismatch response protocols in humans, are underutilized in animal research and may be pivotal in uncovering the substrates of predictive processes. Omission studies comprise a range of methods centered on the withholding of an expected stimulus. This review aims to provide an overview of omission protocols and showcase their potential to integrate and complement the different models and procedures employed to study prediction and deviance detection.This approach may reveal the biological foundations of core concepts of predictive coding, and allow an empirical test of the framework’s promise to unify theoretical models of attention and perception.
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spelling pubmed-88444632022-02-16 Neural Substrates and Models of Omission Responses and Predictive Processes Braga, Alessandro Schönwiesner, Marc Front Neural Circuits Neuroscience Predictive coding theories argue that deviance detection phenomena, such as mismatch responses and omission responses, are generated by predictive processes with possibly overlapping neural substrates. Molecular imaging and electrophysiology studies of mismatch responses and corollary discharge in the rodent model allowed the development of mechanistic and computational models of these phenomena. These models enable translation between human and non-human animal research and help to uncover fundamental features of change-processing microcircuitry in the neocortex. This microcircuitry is characterized by stimulus-specific adaptation and feedforward inhibition of stimulus-selective populations of pyramidal neurons and interneurons, with specific contributions from different interneuron types. The overlap of the substrates of different types of responses to deviant stimuli remains to be understood. Omission responses, which are observed both in corollary discharge and mismatch response protocols in humans, are underutilized in animal research and may be pivotal in uncovering the substrates of predictive processes. Omission studies comprise a range of methods centered on the withholding of an expected stimulus. This review aims to provide an overview of omission protocols and showcase their potential to integrate and complement the different models and procedures employed to study prediction and deviance detection.This approach may reveal the biological foundations of core concepts of predictive coding, and allow an empirical test of the framework’s promise to unify theoretical models of attention and perception. Frontiers Media S.A. 2022-02-01 /pmc/articles/PMC8844463/ /pubmed/35177967 http://dx.doi.org/10.3389/fncir.2022.799581 Text en Copyright © 2022 Braga and Schönwiesner. https://creativecommons.org/licenses/by/4.0/This is an open-acess article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Braga, Alessandro
Schönwiesner, Marc
Neural Substrates and Models of Omission Responses and Predictive Processes
title Neural Substrates and Models of Omission Responses and Predictive Processes
title_full Neural Substrates and Models of Omission Responses and Predictive Processes
title_fullStr Neural Substrates and Models of Omission Responses and Predictive Processes
title_full_unstemmed Neural Substrates and Models of Omission Responses and Predictive Processes
title_short Neural Substrates and Models of Omission Responses and Predictive Processes
title_sort neural substrates and models of omission responses and predictive processes
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844463/
https://www.ncbi.nlm.nih.gov/pubmed/35177967
http://dx.doi.org/10.3389/fncir.2022.799581
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