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Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons

The ability of the brain to represent the external world in real-time is impacted by the fact that neural processing takes time. Because neural delays accumulate as information progresses through the visual system, representations encoded at each hierarchical level are based upon input that is progr...

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Detalles Bibliográficos
Autores principales: Sexton, Charlie M., Burkitt, Anthony N., Hogendoorn, Hinze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506708/
https://www.ncbi.nlm.nih.gov/pubmed/37672532
http://dx.doi.org/10.1371/journal.pcbi.1011457
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author Sexton, Charlie M.
Burkitt, Anthony N.
Hogendoorn, Hinze
author_facet Sexton, Charlie M.
Burkitt, Anthony N.
Hogendoorn, Hinze
author_sort Sexton, Charlie M.
collection PubMed
description The ability of the brain to represent the external world in real-time is impacted by the fact that neural processing takes time. Because neural delays accumulate as information progresses through the visual system, representations encoded at each hierarchical level are based upon input that is progressively outdated with respect to the external world. This ‘representational lag’ is particularly relevant to the task of localizing a moving object–because the object’s location changes with time, neural representations of its location potentially lag behind its true location. Converging evidence suggests that the brain has evolved mechanisms that allow it to compensate for its inherent delays by extrapolating the position of moving objects along their trajectory. We have previously shown how spike-timing dependent plasticity (STDP) can achieve motion extrapolation in a two-layer, feedforward network of velocity-tuned neurons, by shifting the receptive fields of second layer neurons in the opposite direction to a moving stimulus. The current study extends this work by implementing two important changes to the network to bring it more into line with biology: we expanded the network to multiple layers to reflect the depth of the visual hierarchy, and we implemented more realistic synaptic time-courses. We investigate the accumulation of STDP-driven receptive field shifts across several layers, observing a velocity-dependent reduction in representational lag. These results highlight the role of STDP, operating purely along the feedforward pathway, as a developmental strategy for delay compensation.
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spelling pubmed-105067082023-09-19 Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons Sexton, Charlie M. Burkitt, Anthony N. Hogendoorn, Hinze PLoS Comput Biol Research Article The ability of the brain to represent the external world in real-time is impacted by the fact that neural processing takes time. Because neural delays accumulate as information progresses through the visual system, representations encoded at each hierarchical level are based upon input that is progressively outdated with respect to the external world. This ‘representational lag’ is particularly relevant to the task of localizing a moving object–because the object’s location changes with time, neural representations of its location potentially lag behind its true location. Converging evidence suggests that the brain has evolved mechanisms that allow it to compensate for its inherent delays by extrapolating the position of moving objects along their trajectory. We have previously shown how spike-timing dependent plasticity (STDP) can achieve motion extrapolation in a two-layer, feedforward network of velocity-tuned neurons, by shifting the receptive fields of second layer neurons in the opposite direction to a moving stimulus. The current study extends this work by implementing two important changes to the network to bring it more into line with biology: we expanded the network to multiple layers to reflect the depth of the visual hierarchy, and we implemented more realistic synaptic time-courses. We investigate the accumulation of STDP-driven receptive field shifts across several layers, observing a velocity-dependent reduction in representational lag. These results highlight the role of STDP, operating purely along the feedforward pathway, as a developmental strategy for delay compensation. Public Library of Science 2023-09-06 /pmc/articles/PMC10506708/ /pubmed/37672532 http://dx.doi.org/10.1371/journal.pcbi.1011457 Text en © 2023 Sexton et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sexton, Charlie M.
Burkitt, Anthony N.
Hogendoorn, Hinze
Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons
title Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons
title_full Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons
title_fullStr Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons
title_full_unstemmed Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons
title_short Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons
title_sort spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506708/
https://www.ncbi.nlm.nih.gov/pubmed/37672532
http://dx.doi.org/10.1371/journal.pcbi.1011457
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