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Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis

Hierarchical predictive coding is an influential model of cortical organization, in which sequential hierarchical levels are connected by backward connections carrying predictions, as well as forward connections carrying prediction errors. To date, however, predictive coding models have largely negl...

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Detalles Bibliográficos
Autores principales: Hogendoorn, Hinze, Burkitt, Anthony N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506824/
https://www.ncbi.nlm.nih.gov/pubmed/31064839
http://dx.doi.org/10.1523/ENEURO.0412-18.2019
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author Hogendoorn, Hinze
Burkitt, Anthony N.
author_facet Hogendoorn, Hinze
Burkitt, Anthony N.
author_sort Hogendoorn, Hinze
collection PubMed
description Hierarchical predictive coding is an influential model of cortical organization, in which sequential hierarchical levels are connected by backward connections carrying predictions, as well as forward connections carrying prediction errors. To date, however, predictive coding models have largely neglected to take into account that neural transmission itself takes time. For a time-varying stimulus, such as a moving object, this means that backward predictions become misaligned with new sensory input. We present an extended model implementing both forward and backward extrapolation mechanisms that realigns backward predictions to minimize prediction error. This realignment has the consequence that neural representations across all hierarchical levels become aligned in real time. Using visual motion as an example, we show that the model is neurally plausible, that it is consistent with evidence of extrapolation mechanisms throughout the visual hierarchy, that it predicts several known motion–position illusions in human observers, and that it provides a solution to the temporal binding problem.
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spelling pubmed-65068242019-05-09 Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis Hogendoorn, Hinze Burkitt, Anthony N. eNeuro Theory/New Concepts Hierarchical predictive coding is an influential model of cortical organization, in which sequential hierarchical levels are connected by backward connections carrying predictions, as well as forward connections carrying prediction errors. To date, however, predictive coding models have largely neglected to take into account that neural transmission itself takes time. For a time-varying stimulus, such as a moving object, this means that backward predictions become misaligned with new sensory input. We present an extended model implementing both forward and backward extrapolation mechanisms that realigns backward predictions to minimize prediction error. This realignment has the consequence that neural representations across all hierarchical levels become aligned in real time. Using visual motion as an example, we show that the model is neurally plausible, that it is consistent with evidence of extrapolation mechanisms throughout the visual hierarchy, that it predicts several known motion–position illusions in human observers, and that it provides a solution to the temporal binding problem. Society for Neuroscience 2019-05-06 /pmc/articles/PMC6506824/ /pubmed/31064839 http://dx.doi.org/10.1523/ENEURO.0412-18.2019 Text en Copyright © 2019 Hogendoorn and Burkitt http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Theory/New Concepts
Hogendoorn, Hinze
Burkitt, Anthony N.
Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis
title Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis
title_full Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis
title_fullStr Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis
title_full_unstemmed Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis
title_short Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis
title_sort predictive coding with neural transmission delays: a real-time temporal alignment hypothesis
topic Theory/New Concepts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506824/
https://www.ncbi.nlm.nih.gov/pubmed/31064839
http://dx.doi.org/10.1523/ENEURO.0412-18.2019
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