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Neural reactivations during sleep determine network credit assignment

A fundamental goal of motor learning is to establish neural patterns that produce a desired behavioral outcome. It remains unclear how and when the nervous system solves this “credit–assignment” problem. Using neuroprosthetic learning where we could control the causal relationship between neurons an...

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Autores principales: Gulati, Tanuj, Guo, Ling, Ramanathan, Dhakshin S., Bodepudi, Anitha, Ganguly, Karunesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5808917/
https://www.ncbi.nlm.nih.gov/pubmed/28692062
http://dx.doi.org/10.1038/nn.4601
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author Gulati, Tanuj
Guo, Ling
Ramanathan, Dhakshin S.
Bodepudi, Anitha
Ganguly, Karunesh
author_facet Gulati, Tanuj
Guo, Ling
Ramanathan, Dhakshin S.
Bodepudi, Anitha
Ganguly, Karunesh
author_sort Gulati, Tanuj
collection PubMed
description A fundamental goal of motor learning is to establish neural patterns that produce a desired behavioral outcome. It remains unclear how and when the nervous system solves this “credit–assignment” problem. Using neuroprosthetic learning where we could control the causal relationship between neurons and behavior, here we show that sleep–dependent processing is required for credit-assignment and the establishment of task-related functional connectivity reflecting the casual neuron-behavior relationship. Importantly, we found a strong link between the microstructure of sleep reactivations and credit assignment, with downscaling of non–causal activity. Strikingly, decoupling of spiking to slow–oscillations using optogenetic methods eliminated rescaling. Thus, our results suggest that coordinated firing during sleep plays an essential role in establishing sparse activation patterns that reflect the causal neuron–behavior relationship.
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spelling pubmed-58089172018-02-13 Neural reactivations during sleep determine network credit assignment Gulati, Tanuj Guo, Ling Ramanathan, Dhakshin S. Bodepudi, Anitha Ganguly, Karunesh Nat Neurosci Article A fundamental goal of motor learning is to establish neural patterns that produce a desired behavioral outcome. It remains unclear how and when the nervous system solves this “credit–assignment” problem. Using neuroprosthetic learning where we could control the causal relationship between neurons and behavior, here we show that sleep–dependent processing is required for credit-assignment and the establishment of task-related functional connectivity reflecting the casual neuron-behavior relationship. Importantly, we found a strong link between the microstructure of sleep reactivations and credit assignment, with downscaling of non–causal activity. Strikingly, decoupling of spiking to slow–oscillations using optogenetic methods eliminated rescaling. Thus, our results suggest that coordinated firing during sleep plays an essential role in establishing sparse activation patterns that reflect the causal neuron–behavior relationship. 2017-07-10 2017-09 /pmc/articles/PMC5808917/ /pubmed/28692062 http://dx.doi.org/10.1038/nn.4601 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Gulati, Tanuj
Guo, Ling
Ramanathan, Dhakshin S.
Bodepudi, Anitha
Ganguly, Karunesh
Neural reactivations during sleep determine network credit assignment
title Neural reactivations during sleep determine network credit assignment
title_full Neural reactivations during sleep determine network credit assignment
title_fullStr Neural reactivations during sleep determine network credit assignment
title_full_unstemmed Neural reactivations during sleep determine network credit assignment
title_short Neural reactivations during sleep determine network credit assignment
title_sort neural reactivations during sleep determine network credit assignment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5808917/
https://www.ncbi.nlm.nih.gov/pubmed/28692062
http://dx.doi.org/10.1038/nn.4601
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