A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposal

Predictive processing theories conceptualize neocortical feedback as conveying expectations and contextual attention signals derived from internal cortical models, playing an essential role in the perception and interpretation of sensory information. However, few predictive processing frameworks out...

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Main Authors: Carmen Varela, Joao V. S. Moreira, Basak Kocaoglu, Salvador Dura-Bernal, Subutai Ahmad
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1359180/full
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author Carmen Varela
Joao V. S. Moreira
Basak Kocaoglu
Salvador Dura-Bernal
Salvador Dura-Bernal
Subutai Ahmad
author_facet Carmen Varela
Joao V. S. Moreira
Basak Kocaoglu
Salvador Dura-Bernal
Salvador Dura-Bernal
Subutai Ahmad
author_sort Carmen Varela
collection DOAJ
description Predictive processing theories conceptualize neocortical feedback as conveying expectations and contextual attention signals derived from internal cortical models, playing an essential role in the perception and interpretation of sensory information. However, few predictive processing frameworks outline concrete mechanistic roles for the corticothalamic (CT) feedback from layer 6 (L6), despite the fact that the number of CT axons is an order of magnitude greater than that of feedforward thalamocortical (TC) axons. Here we review the functional architecture of CT circuits and propose a mechanism through which L6 could regulate thalamic firing modes (burst, tonic) to detect unexpected inputs. Using simulations in a model of a TC cell, we show how the CT feedback could support prediction-based input discrimination in TC cells by promoting burst firing. This type of CT control can enable the thalamic circuit to implement spatial and context selective attention mechanisms. The proposed mechanism generates specific experimentally testable hypotheses. We suggest that the L6 CT feedback allows the thalamus to detect deviance from predictions of internal cortical models, thereby supporting contextual attention and routing operations, a far more powerful role than traditionally assumed.
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spelling doaj.art-96bb0e3d75304687b451fefc232e55ce2024-02-29T13:17:42ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2024-02-011810.3389/fnins.2024.13591801359180A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposalCarmen Varela0Joao V. S. Moreira1Basak Kocaoglu2Salvador Dura-Bernal3Salvador Dura-Bernal4Subutai Ahmad5Psychology Department, Florida Atlantic University, Boca Raton, FL, United StatesDepartment of Physiology and Pharmacology, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY, United StatesCenter for Connected Autonomy and Artificial Intelligence, Florida Atlantic University, Boca Raton, FL, United StatesDepartment of Physiology and Pharmacology, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY, United StatesCenter for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United StatesNumenta, Redwood City, CA, United StatesPredictive processing theories conceptualize neocortical feedback as conveying expectations and contextual attention signals derived from internal cortical models, playing an essential role in the perception and interpretation of sensory information. However, few predictive processing frameworks outline concrete mechanistic roles for the corticothalamic (CT) feedback from layer 6 (L6), despite the fact that the number of CT axons is an order of magnitude greater than that of feedforward thalamocortical (TC) axons. Here we review the functional architecture of CT circuits and propose a mechanism through which L6 could regulate thalamic firing modes (burst, tonic) to detect unexpected inputs. Using simulations in a model of a TC cell, we show how the CT feedback could support prediction-based input discrimination in TC cells by promoting burst firing. This type of CT control can enable the thalamic circuit to implement spatial and context selective attention mechanisms. The proposed mechanism generates specific experimentally testable hypotheses. We suggest that the L6 CT feedback allows the thalamus to detect deviance from predictions of internal cortical models, thereby supporting contextual attention and routing operations, a far more powerful role than traditionally assumed.https://www.frontiersin.org/articles/10.3389/fnins.2024.1359180/fulldeviance detectioncorticothalamicburstthalamus firing modepredictive processinglayer 6
spellingShingle Carmen Varela
Joao V. S. Moreira
Basak Kocaoglu
Salvador Dura-Bernal
Salvador Dura-Bernal
Subutai Ahmad
A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposal
Frontiers in Neuroscience
deviance detection
corticothalamic
burst
thalamus firing mode
predictive processing
layer 6
title A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposal
title_full A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposal
title_fullStr A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposal
title_full_unstemmed A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposal
title_short A mechanism for deviance detection and contextual routing in the thalamus: a review and theoretical proposal
title_sort mechanism for deviance detection and contextual routing in the thalamus a review and theoretical proposal
topic deviance detection
corticothalamic
burst
thalamus firing mode
predictive processing
layer 6
url https://www.frontiersin.org/articles/10.3389/fnins.2024.1359180/full
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