Cargando…

Weight dependence in BCM leads to adjustable synaptic competition

Models of synaptic plasticity have been used to better understand neural development as well as learning and memory. One prominent classic model is the Bienenstock-Cooper-Munro (BCM) model that has been particularly successful in explaining plasticity of the visual cortex. Here, in an effort to incl...

Descripción completa

Detalles Bibliográficos
Autores principales: Albesa-González, Albert, Froc, Maxime, Williamson, Oliver, Rossum, Mark C. W. van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666303/
https://www.ncbi.nlm.nih.gov/pubmed/35764852
http://dx.doi.org/10.1007/s10827-022-00824-w
_version_ 1784831474855313408
author Albesa-González, Albert
Froc, Maxime
Williamson, Oliver
Rossum, Mark C. W. van
author_facet Albesa-González, Albert
Froc, Maxime
Williamson, Oliver
Rossum, Mark C. W. van
author_sort Albesa-González, Albert
collection PubMed
description Models of synaptic plasticity have been used to better understand neural development as well as learning and memory. One prominent classic model is the Bienenstock-Cooper-Munro (BCM) model that has been particularly successful in explaining plasticity of the visual cortex. Here, in an effort to include more biophysical detail in the BCM model, we incorporate 1) feedforward inhibition, and 2) the experimental observation that large synapses are relatively harder to potentiate than weak ones, while synaptic depression is proportional to the synaptic strength. These modifications change the outcome of unsupervised plasticity under the BCM model. The amount of feed-forward inhibition adds a parameter to BCM that turns out to determine the strength of competition. In the limit of strong inhibition the learning outcome is identical to standard BCM and the neuron becomes selective to one stimulus only (winner-take-all). For smaller values of inhibition, competition is weaker and the receptive fields are less selective. However, both BCM variants can yield realistic receptive fields.
format Online
Article
Text
id pubmed-9666303
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-96663032022-11-17 Weight dependence in BCM leads to adjustable synaptic competition Albesa-González, Albert Froc, Maxime Williamson, Oliver Rossum, Mark C. W. van J Comput Neurosci Original Article Models of synaptic plasticity have been used to better understand neural development as well as learning and memory. One prominent classic model is the Bienenstock-Cooper-Munro (BCM) model that has been particularly successful in explaining plasticity of the visual cortex. Here, in an effort to include more biophysical detail in the BCM model, we incorporate 1) feedforward inhibition, and 2) the experimental observation that large synapses are relatively harder to potentiate than weak ones, while synaptic depression is proportional to the synaptic strength. These modifications change the outcome of unsupervised plasticity under the BCM model. The amount of feed-forward inhibition adds a parameter to BCM that turns out to determine the strength of competition. In the limit of strong inhibition the learning outcome is identical to standard BCM and the neuron becomes selective to one stimulus only (winner-take-all). For smaller values of inhibition, competition is weaker and the receptive fields are less selective. However, both BCM variants can yield realistic receptive fields. Springer US 2022-06-29 2022 /pmc/articles/PMC9666303/ /pubmed/35764852 http://dx.doi.org/10.1007/s10827-022-00824-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Albesa-González, Albert
Froc, Maxime
Williamson, Oliver
Rossum, Mark C. W. van
Weight dependence in BCM leads to adjustable synaptic competition
title Weight dependence in BCM leads to adjustable synaptic competition
title_full Weight dependence in BCM leads to adjustable synaptic competition
title_fullStr Weight dependence in BCM leads to adjustable synaptic competition
title_full_unstemmed Weight dependence in BCM leads to adjustable synaptic competition
title_short Weight dependence in BCM leads to adjustable synaptic competition
title_sort weight dependence in bcm leads to adjustable synaptic competition
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666303/
https://www.ncbi.nlm.nih.gov/pubmed/35764852
http://dx.doi.org/10.1007/s10827-022-00824-w
work_keys_str_mv AT albesagonzalezalbert weightdependenceinbcmleadstoadjustablesynapticcompetition
AT frocmaxime weightdependenceinbcmleadstoadjustablesynapticcompetition
AT williamsonoliver weightdependenceinbcmleadstoadjustablesynapticcompetition
AT rossummarkcwvan weightdependenceinbcmleadstoadjustablesynapticcompetition