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Recurrent network model for learning goal-directed sequences through reverse replay

Reverse replay of hippocampal place cells occurs frequently at rewarded locations, suggesting its contribution to goal-directed path learning. Symmetric spike-timing dependent plasticity (STDP) in CA3 likely potentiates recurrent synapses for both forward (start to goal) and reverse (goal to start)...

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Detalles Bibliográficos
Autores principales: Haga, Tatsuya, Fukai, Tomoki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059768/
https://www.ncbi.nlm.nih.gov/pubmed/29969098
http://dx.doi.org/10.7554/eLife.34171
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author Haga, Tatsuya
Fukai, Tomoki
author_facet Haga, Tatsuya
Fukai, Tomoki
author_sort Haga, Tatsuya
collection PubMed
description Reverse replay of hippocampal place cells occurs frequently at rewarded locations, suggesting its contribution to goal-directed path learning. Symmetric spike-timing dependent plasticity (STDP) in CA3 likely potentiates recurrent synapses for both forward (start to goal) and reverse (goal to start) replays during sequential activation of place cells. However, how reverse replay selectively strengthens forward synaptic pathway is unclear. Here, we show computationally that firing sequences bias synaptic transmissions to the opposite direction of propagation under symmetric STDP in the co-presence of short-term synaptic depression or afterdepolarization. We demonstrate that significant biases are created in biologically realistic simulation settings, and this bias enables reverse replay to enhance goal-directed spatial memory on a W-maze. Further, we show that essentially the same mechanism works in a two-dimensional open field. Our model for the first time provides the mechanistic account for the way reverse replay contributes to hippocampal sequence learning for reward-seeking spatial navigation.
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spelling pubmed-60597682018-07-27 Recurrent network model for learning goal-directed sequences through reverse replay Haga, Tatsuya Fukai, Tomoki eLife Neuroscience Reverse replay of hippocampal place cells occurs frequently at rewarded locations, suggesting its contribution to goal-directed path learning. Symmetric spike-timing dependent plasticity (STDP) in CA3 likely potentiates recurrent synapses for both forward (start to goal) and reverse (goal to start) replays during sequential activation of place cells. However, how reverse replay selectively strengthens forward synaptic pathway is unclear. Here, we show computationally that firing sequences bias synaptic transmissions to the opposite direction of propagation under symmetric STDP in the co-presence of short-term synaptic depression or afterdepolarization. We demonstrate that significant biases are created in biologically realistic simulation settings, and this bias enables reverse replay to enhance goal-directed spatial memory on a W-maze. Further, we show that essentially the same mechanism works in a two-dimensional open field. Our model for the first time provides the mechanistic account for the way reverse replay contributes to hippocampal sequence learning for reward-seeking spatial navigation. eLife Sciences Publications, Ltd 2018-07-03 /pmc/articles/PMC6059768/ /pubmed/29969098 http://dx.doi.org/10.7554/eLife.34171 Text en © 2018, Haga et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Haga, Tatsuya
Fukai, Tomoki
Recurrent network model for learning goal-directed sequences through reverse replay
title Recurrent network model for learning goal-directed sequences through reverse replay
title_full Recurrent network model for learning goal-directed sequences through reverse replay
title_fullStr Recurrent network model for learning goal-directed sequences through reverse replay
title_full_unstemmed Recurrent network model for learning goal-directed sequences through reverse replay
title_short Recurrent network model for learning goal-directed sequences through reverse replay
title_sort recurrent network model for learning goal-directed sequences through reverse replay
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059768/
https://www.ncbi.nlm.nih.gov/pubmed/29969098
http://dx.doi.org/10.7554/eLife.34171
work_keys_str_mv AT hagatatsuya recurrentnetworkmodelforlearninggoaldirectedsequencesthroughreversereplay
AT fukaitomoki recurrentnetworkmodelforlearninggoaldirectedsequencesthroughreversereplay