Learning reward timing in cortex through reward dependent expression of synaptic plasticity

The ability to represent time is an essential component of cognition but its neural basis is unknown. Although extensively studied both behaviorally and electrophysiologically, a general theoretical framework describing the elementary neural mechanisms used by the brain to learn temporal representat...

Full description

Bibliographic Details
Main Authors: Gavornik, Jeffrey, Shuler, Marshal G. Hussain, Loewenstein, Yonatan, Bear, Mark, Shouval, Harel Z.
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: National Academy of Sciences 2009
Online Access:http://hdl.handle.net/1721.1/50255
_version_ 1826210000450617344
author Gavornik, Jeffrey
Shuler, Marshal G. Hussain
Loewenstein, Yonatan
Bear, Mark
Shouval, Harel Z.
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Gavornik, Jeffrey
Shuler, Marshal G. Hussain
Loewenstein, Yonatan
Bear, Mark
Shouval, Harel Z.
author_sort Gavornik, Jeffrey
collection MIT
description The ability to represent time is an essential component of cognition but its neural basis is unknown. Although extensively studied both behaviorally and electrophysiologically, a general theoretical framework describing the elementary neural mechanisms used by the brain to learn temporal representations is lacking. It is commonly believed that the underlying cellular mechanisms reside in high order cortical regions but recent studies show sustained neural activity in primary sensory cortices that can represent the timing of expected reward. Here, we show that local cortical networks can learn temporal representations through a simple framework predicated on reward dependent expression of synaptic plasticity. We assert that temporal representations are stored in the lateral synaptic connections between neurons and demonstrate that reward-modulated plasticity is sufficient to learn these representations. We implement our model numerically to explain reward-time learning in the primary visual cortex (V1), demonstrate experimental support, and suggest additional experimentally verifiable predictions.
first_indexed 2024-09-23T14:39:30Z
format Article
id mit-1721.1/50255
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T14:39:30Z
publishDate 2009
publisher National Academy of Sciences
record_format dspace
spelling mit-1721.1/502552022-09-29T10:02:34Z Learning reward timing in cortex through reward dependent expression of synaptic plasticity Gavornik, Jeffrey Shuler, Marshal G. Hussain Loewenstein, Yonatan Bear, Mark Shouval, Harel Z. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Picower Institute for Learning and Memory Bear, Mark Bear, Mark The ability to represent time is an essential component of cognition but its neural basis is unknown. Although extensively studied both behaviorally and electrophysiologically, a general theoretical framework describing the elementary neural mechanisms used by the brain to learn temporal representations is lacking. It is commonly believed that the underlying cellular mechanisms reside in high order cortical regions but recent studies show sustained neural activity in primary sensory cortices that can represent the timing of expected reward. Here, we show that local cortical networks can learn temporal representations through a simple framework predicated on reward dependent expression of synaptic plasticity. We assert that temporal representations are stored in the lateral synaptic connections between neurons and demonstrate that reward-modulated plasticity is sufficient to learn these representations. We implement our model numerically to explain reward-time learning in the primary visual cortex (V1), demonstrate experimental support, and suggest additional experimentally verifiable predictions. Israel Science Foundation Howard Hughes Medical Institute National Science Foundation Collaborative Research in Computational Neuroscience 2009-12-28T16:36:45Z 2009-12-28T16:36:45Z 2009-04 2008-12 Article http://purl.org/eprint/type/JournalArticle 0027-8424 http://hdl.handle.net/1721.1/50255 Gavornik, Jeffrey P et al. “Learning reward timing in cortex through reward dependent expression of synaptic plasticity.” Proceedings of the National Academy of Sciences 106.16 (2009): 6826-6831. 19346478 en_US http://dx.doi.org/10.1073/pnas.0901835106 Proceedings of the National Academy of Sciences of the United States of America Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf National Academy of Sciences PNAS
spellingShingle Gavornik, Jeffrey
Shuler, Marshal G. Hussain
Loewenstein, Yonatan
Bear, Mark
Shouval, Harel Z.
Learning reward timing in cortex through reward dependent expression of synaptic plasticity
title Learning reward timing in cortex through reward dependent expression of synaptic plasticity
title_full Learning reward timing in cortex through reward dependent expression of synaptic plasticity
title_fullStr Learning reward timing in cortex through reward dependent expression of synaptic plasticity
title_full_unstemmed Learning reward timing in cortex through reward dependent expression of synaptic plasticity
title_short Learning reward timing in cortex through reward dependent expression of synaptic plasticity
title_sort learning reward timing in cortex through reward dependent expression of synaptic plasticity
url http://hdl.handle.net/1721.1/50255
work_keys_str_mv AT gavornikjeffrey learningrewardtimingincortexthroughrewarddependentexpressionofsynapticplasticity
AT shulermarshalghussain learningrewardtimingincortexthroughrewarddependentexpressionofsynapticplasticity
AT loewensteinyonatan learningrewardtimingincortexthroughrewarddependentexpressionofsynapticplasticity
AT bearmark learningrewardtimingincortexthroughrewarddependentexpressionofsynapticplasticity
AT shouvalharelz learningrewardtimingincortexthroughrewarddependentexpressionofsynapticplasticity