The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.

Recently, we presented a study of adult neurogenesis in a simplified hippocampal memory model. The network was required to encode and decode memory patterns despite changing input statistics. We showed that additive neurogenesis was a more effective adaptation strategy compared to neuronal turnover...

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Autores principales:	Peter A Appleby, Gerd Kempermann, Laurenz Wiskott
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/00b3186c1dc64fe5a10ef5aafd46e943
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spelling	oai:doaj.org-article:00b3186c1dc64fe5a10ef5aafd46e9432021-11-18T05:50:45ZThe role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.1553-734X1553-735810.1371/journal.pcbi.1001063https://doaj.org/article/00b3186c1dc64fe5a10ef5aafd46e9432011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21298080/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Recently, we presented a study of adult neurogenesis in a simplified hippocampal memory model. The network was required to encode and decode memory patterns despite changing input statistics. We showed that additive neurogenesis was a more effective adaptation strategy compared to neuronal turnover and conventional synaptic plasticity as it allowed the network to respond to changes in the input statistics while preserving representations of earlier environments. Here we extend our model to include realistic, spatially driven input firing patterns in the form of grid cells in the entorhinal cortex. We compare network performance across a sequence of spatial environments using three distinct adaptation strategies: conventional synaptic plasticity, where the network is of fixed size but the connectivity is plastic; neuronal turnover, where the network is of fixed size but units in the network may die and be replaced; and additive neurogenesis, where the network starts out with fewer initial units but grows over time. We confirm that additive neurogenesis is a superior adaptation strategy when using realistic, spatially structured input patterns. We then show that a more biologically plausible neurogenesis rule that incorporates cell death and enhanced plasticity of new granule cells has an overall performance significantly better than any one of the three individual strategies operating alone. This adaptation rule can be tailored to maximise performance of the network when operating as either a short- or long-term memory store. We also examine the time course of adult neurogenesis over the lifetime of an animal raised under different hypothetical rearing conditions. These growth profiles have several distinct features that form a theoretical prediction that could be tested experimentally. Finally, we show that place cells can emerge and refine in a realistic manner in our model as a direct result of the sparsification performed by the dentate gyrus layer.Peter A ApplebyGerd KempermannLaurenz WiskottPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 7, Iss 1, p e1001063 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Peter A Appleby Gerd Kempermann Laurenz Wiskott The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.
description	Recently, we presented a study of adult neurogenesis in a simplified hippocampal memory model. The network was required to encode and decode memory patterns despite changing input statistics. We showed that additive neurogenesis was a more effective adaptation strategy compared to neuronal turnover and conventional synaptic plasticity as it allowed the network to respond to changes in the input statistics while preserving representations of earlier environments. Here we extend our model to include realistic, spatially driven input firing patterns in the form of grid cells in the entorhinal cortex. We compare network performance across a sequence of spatial environments using three distinct adaptation strategies: conventional synaptic plasticity, where the network is of fixed size but the connectivity is plastic; neuronal turnover, where the network is of fixed size but units in the network may die and be replaced; and additive neurogenesis, where the network starts out with fewer initial units but grows over time. We confirm that additive neurogenesis is a superior adaptation strategy when using realistic, spatially structured input patterns. We then show that a more biologically plausible neurogenesis rule that incorporates cell death and enhanced plasticity of new granule cells has an overall performance significantly better than any one of the three individual strategies operating alone. This adaptation rule can be tailored to maximise performance of the network when operating as either a short- or long-term memory store. We also examine the time course of adult neurogenesis over the lifetime of an animal raised under different hypothetical rearing conditions. These growth profiles have several distinct features that form a theoretical prediction that could be tested experimentally. Finally, we show that place cells can emerge and refine in a realistic manner in our model as a direct result of the sparsification performed by the dentate gyrus layer.
format	article
author	Peter A Appleby Gerd Kempermann Laurenz Wiskott
author_facet	Peter A Appleby Gerd Kempermann Laurenz Wiskott
author_sort	Peter A Appleby
title	The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.
title_short	The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.
title_full	The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.
title_fullStr	The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.
title_full_unstemmed	The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.
title_sort	role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/00b3186c1dc64fe5a10ef5aafd46e943
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The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input.

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