Learning multiple variable-speed sequences in striatum via cortical tutoring

Sparse, sequential patterns of neural activity have been observed in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such observations, we construct a model of the striatum, an all-inhibitory circuit where sequential activity patterns are prominent, addressing the follo...

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Main Authors: James M Murray, G Sean Escola
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2017-05-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/26084
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author James M Murray
G Sean Escola
author_facet James M Murray
G Sean Escola
author_sort James M Murray
collection DOAJ
description Sparse, sequential patterns of neural activity have been observed in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such observations, we construct a model of the striatum, an all-inhibitory circuit where sequential activity patterns are prominent, addressing the following key challenges: (i) obtaining control over temporal rescaling of the sequence speed, with the ability to generalize to new speeds; (ii) facilitating flexible expression of distinct sequences via selective activation, concatenation, and recycling of specific subsequences; and (iii) enabling the biologically plausible learning of sequences, consistent with the decoupling of learning and execution suggested by lesion studies showing that cortical circuits are necessary for learning, but that subcortical circuits are sufficient to drive learned behaviors. The same mechanisms that we describe can also be applied to circuits with both excitatory and inhibitory populations, and hence may underlie general features of sequential neural activity pattern generation in the brain.
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spelling doaj.art-1f933c9ac1be4ce0bd4bf06514b0e95d2022-12-22T03:52:18ZengeLife Sciences Publications LtdeLife2050-084X2017-05-01610.7554/eLife.26084Learning multiple variable-speed sequences in striatum via cortical tutoringJames M Murray0https://orcid.org/0000-0003-3706-4895G Sean Escola1https://orcid.org/0000-0003-0645-1964Center for Theoretical Neuroscience, Columbia University, New York, United StatesCenter for Theoretical Neuroscience, Columbia University, New York, United StatesSparse, sequential patterns of neural activity have been observed in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such observations, we construct a model of the striatum, an all-inhibitory circuit where sequential activity patterns are prominent, addressing the following key challenges: (i) obtaining control over temporal rescaling of the sequence speed, with the ability to generalize to new speeds; (ii) facilitating flexible expression of distinct sequences via selective activation, concatenation, and recycling of specific subsequences; and (iii) enabling the biologically plausible learning of sequences, consistent with the decoupling of learning and execution suggested by lesion studies showing that cortical circuits are necessary for learning, but that subcortical circuits are sufficient to drive learned behaviors. The same mechanisms that we describe can also be applied to circuits with both excitatory and inhibitory populations, and hence may underlie general features of sequential neural activity pattern generation in the brain.https://elifesciences.org/articles/26084basal gangliacircuit modelsmotor sequences
spellingShingle James M Murray
G Sean Escola
Learning multiple variable-speed sequences in striatum via cortical tutoring
eLife
basal ganglia
circuit models
motor sequences
title Learning multiple variable-speed sequences in striatum via cortical tutoring
title_full Learning multiple variable-speed sequences in striatum via cortical tutoring
title_fullStr Learning multiple variable-speed sequences in striatum via cortical tutoring
title_full_unstemmed Learning multiple variable-speed sequences in striatum via cortical tutoring
title_short Learning multiple variable-speed sequences in striatum via cortical tutoring
title_sort learning multiple variable speed sequences in striatum via cortical tutoring
topic basal ganglia
circuit models
motor sequences
url https://elifesciences.org/articles/26084
work_keys_str_mv AT jamesmmurray learningmultiplevariablespeedsequencesinstriatumviacorticaltutoring
AT gseanescola learningmultiplevariablespeedsequencesinstriatumviacorticaltutoring