Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.

Hebbian changes of excitatory synapses are driven by and further enhance correlations between pre- and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback loop that can lead to instability in simulated neural networks. To keep activity at healthy, low levels, plasticity must...

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Autores principales:	Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/aa4df9d0c81d4af8845bc30081660ec9
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spelling	oai:doaj.org-article:aa4df9d0c81d4af8845bc30081660ec92021-11-18T05:53:23ZSynaptic plasticity in neural networks needs homeostasis with a fast rate detector.1553-734X1553-735810.1371/journal.pcbi.1003330https://doaj.org/article/aa4df9d0c81d4af8845bc30081660ec92013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24244138/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Hebbian changes of excitatory synapses are driven by and further enhance correlations between pre- and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback loop that can lead to instability in simulated neural networks. To keep activity at healthy, low levels, plasticity must therefore incorporate homeostatic control mechanisms. We find in numerical simulations of recurrent networks with a realistic triplet-based spike-timing-dependent plasticity rule (triplet STDP) that homeostasis has to detect rate changes on a timescale of seconds to minutes to keep the activity stable. We confirm this result in a generic mean-field formulation of network activity and homeostatic plasticity. Our results strongly suggest the existence of a homeostatic regulatory mechanism that reacts to firing rate changes on the order of seconds to minutes.Friedemann ZenkeGuillaume HennequinWulfram GerstnerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 9, Iss 11, p e1003330 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Friedemann Zenke Guillaume Hennequin Wulfram Gerstner Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
description	Hebbian changes of excitatory synapses are driven by and further enhance correlations between pre- and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback loop that can lead to instability in simulated neural networks. To keep activity at healthy, low levels, plasticity must therefore incorporate homeostatic control mechanisms. We find in numerical simulations of recurrent networks with a realistic triplet-based spike-timing-dependent plasticity rule (triplet STDP) that homeostasis has to detect rate changes on a timescale of seconds to minutes to keep the activity stable. We confirm this result in a generic mean-field formulation of network activity and homeostatic plasticity. Our results strongly suggest the existence of a homeostatic regulatory mechanism that reacts to firing rate changes on the order of seconds to minutes.
format	article
author	Friedemann Zenke Guillaume Hennequin Wulfram Gerstner
author_facet	Friedemann Zenke Guillaume Hennequin Wulfram Gerstner
author_sort	Friedemann Zenke
title	Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
title_short	Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
title_full	Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
title_fullStr	Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
title_full_unstemmed	Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
title_sort	synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/aa4df9d0c81d4af8845bc30081660ec9
work_keys_str_mv	AT friedemannzenke synapticplasticityinneuralnetworksneedshomeostasiswithafastratedetector AT guillaumehennequin synapticplasticityinneuralnetworksneedshomeostasiswithafastratedetector AT wulframgerstner synapticplasticityinneuralnetworksneedshomeostasiswithafastratedetector
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Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.

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