Depression-biased reverse plasticity rule is required for stable learning at top-down connections.

Top-down synapses are ubiquitous throughout neocortex and play a central role in cognition, yet little is known about their development and specificity. During sensory experience, lower neocortical areas are activated before higher ones, causing top-down synapses to experience a preponderance of pos...

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Autores principales:	Kendra S Burbank, Gabriel Kreiman
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/0beb46d041204183aecd966c2361afb0
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spelling	oai:doaj.org-article:0beb46d041204183aecd966c2361afb02021-11-18T05:51:33ZDepression-biased reverse plasticity rule is required for stable learning at top-down connections.1553-734X1553-735810.1371/journal.pcbi.1002393https://doaj.org/article/0beb46d041204183aecd966c2361afb02012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22396630/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Top-down synapses are ubiquitous throughout neocortex and play a central role in cognition, yet little is known about their development and specificity. During sensory experience, lower neocortical areas are activated before higher ones, causing top-down synapses to experience a preponderance of post-synaptic activity preceding pre-synaptic activity. This timing pattern is the opposite of that experienced by bottom-up synapses, which suggests that different versions of spike-timing dependent synaptic plasticity (STDP) rules may be required at top-down synapses. We consider a two-layer neural network model and investigate which STDP rules can lead to a distribution of top-down synaptic weights that is stable, diverse and avoids strong loops. We introduce a temporally reversed rule (rSTDP) where top-down synapses are potentiated if post-synaptic activity precedes pre-synaptic activity. Combining analytical work and integrate-and-fire simulations, we show that only depression-biased rSTDP (and not classical STDP) produces stable and diverse top-down weights. The conclusions did not change upon addition of homeostatic mechanisms, multiplicative STDP rules or weak external input to the top neurons. Our prediction for rSTDP at top-down synapses, which are distally located, is supported by recent neurophysiological evidence showing the existence of temporally reversed STDP in synapses that are distal to the post-synaptic cell body.Kendra S BurbankGabriel KreimanPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 8, Iss 3, p e1002393 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Kendra S Burbank Gabriel Kreiman Depression-biased reverse plasticity rule is required for stable learning at top-down connections.
description	Top-down synapses are ubiquitous throughout neocortex and play a central role in cognition, yet little is known about their development and specificity. During sensory experience, lower neocortical areas are activated before higher ones, causing top-down synapses to experience a preponderance of post-synaptic activity preceding pre-synaptic activity. This timing pattern is the opposite of that experienced by bottom-up synapses, which suggests that different versions of spike-timing dependent synaptic plasticity (STDP) rules may be required at top-down synapses. We consider a two-layer neural network model and investigate which STDP rules can lead to a distribution of top-down synaptic weights that is stable, diverse and avoids strong loops. We introduce a temporally reversed rule (rSTDP) where top-down synapses are potentiated if post-synaptic activity precedes pre-synaptic activity. Combining analytical work and integrate-and-fire simulations, we show that only depression-biased rSTDP (and not classical STDP) produces stable and diverse top-down weights. The conclusions did not change upon addition of homeostatic mechanisms, multiplicative STDP rules or weak external input to the top neurons. Our prediction for rSTDP at top-down synapses, which are distally located, is supported by recent neurophysiological evidence showing the existence of temporally reversed STDP in synapses that are distal to the post-synaptic cell body.
format	article
author	Kendra S Burbank Gabriel Kreiman
author_facet	Kendra S Burbank Gabriel Kreiman
author_sort	Kendra S Burbank
title	Depression-biased reverse plasticity rule is required for stable learning at top-down connections.
title_short	Depression-biased reverse plasticity rule is required for stable learning at top-down connections.
title_full	Depression-biased reverse plasticity rule is required for stable learning at top-down connections.
title_fullStr	Depression-biased reverse plasticity rule is required for stable learning at top-down connections.
title_full_unstemmed	Depression-biased reverse plasticity rule is required for stable learning at top-down connections.
title_sort	depression-biased reverse plasticity rule is required for stable learning at top-down connections.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/0beb46d041204183aecd966c2361afb0
work_keys_str_mv	AT kendrasburbank depressionbiasedreverseplasticityruleisrequiredforstablelearningattopdownconnections AT gabrielkreiman depressionbiasedreverseplasticityruleisrequiredforstablelearningattopdownconnections
_version_	1718424710216155136

Depression-biased reverse plasticity rule is required for stable learning at top-down connections.

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