Cargando…
Morphological elucidation of basal ganglia circuits contributing reward prediction
Electrophysiological studies in monkeys have shown that dopaminergic neurons respond to the reward prediction error. In addition, striatal neurons alter their responsiveness to cortical or thalamic inputs in response to the dopamine signal, via the mechanism of dopamine-regulated synaptic plasticity...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318281/ https://www.ncbi.nlm.nih.gov/pubmed/25698913 http://dx.doi.org/10.3389/fnins.2015.00006 |
_version_ | 1782355831907418112 |
---|---|
author | Fujiyama, Fumino Takahashi, Susumu Karube, Fuyuki |
author_facet | Fujiyama, Fumino Takahashi, Susumu Karube, Fuyuki |
author_sort | Fujiyama, Fumino |
collection | PubMed |
description | Electrophysiological studies in monkeys have shown that dopaminergic neurons respond to the reward prediction error. In addition, striatal neurons alter their responsiveness to cortical or thalamic inputs in response to the dopamine signal, via the mechanism of dopamine-regulated synaptic plasticity. These findings have led to the hypothesis that the striatum exhibits synaptic plasticity under the influence of the reward prediction error and conduct reinforcement learning throughout the basal ganglia circuits. The reinforcement learning model is useful; however, the mechanism by which such a process emerges in the basal ganglia needs to be anatomically explained. The actor–critic model has been previously proposed and extended by the existence of role sharing within the striatum, focusing on the striosome/matrix compartments. However, this hypothesis has been difficult to confirm morphologically, partly because of the complex structure of the striosome/matrix compartments. Here, we review recent morphological studies that elucidate the input/output organization of the striatal compartments. |
format | Online Article Text |
id | pubmed-4318281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43182812015-02-19 Morphological elucidation of basal ganglia circuits contributing reward prediction Fujiyama, Fumino Takahashi, Susumu Karube, Fuyuki Front Neurosci Neuroscience Electrophysiological studies in monkeys have shown that dopaminergic neurons respond to the reward prediction error. In addition, striatal neurons alter their responsiveness to cortical or thalamic inputs in response to the dopamine signal, via the mechanism of dopamine-regulated synaptic plasticity. These findings have led to the hypothesis that the striatum exhibits synaptic plasticity under the influence of the reward prediction error and conduct reinforcement learning throughout the basal ganglia circuits. The reinforcement learning model is useful; however, the mechanism by which such a process emerges in the basal ganglia needs to be anatomically explained. The actor–critic model has been previously proposed and extended by the existence of role sharing within the striatum, focusing on the striosome/matrix compartments. However, this hypothesis has been difficult to confirm morphologically, partly because of the complex structure of the striosome/matrix compartments. Here, we review recent morphological studies that elucidate the input/output organization of the striatal compartments. Frontiers Media S.A. 2015-02-05 /pmc/articles/PMC4318281/ /pubmed/25698913 http://dx.doi.org/10.3389/fnins.2015.00006 Text en Copyright © 2015 Fujiyama, Takahashi and Karube. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Fujiyama, Fumino Takahashi, Susumu Karube, Fuyuki Morphological elucidation of basal ganglia circuits contributing reward prediction |
title | Morphological elucidation of basal ganglia circuits contributing reward prediction |
title_full | Morphological elucidation of basal ganglia circuits contributing reward prediction |
title_fullStr | Morphological elucidation of basal ganglia circuits contributing reward prediction |
title_full_unstemmed | Morphological elucidation of basal ganglia circuits contributing reward prediction |
title_short | Morphological elucidation of basal ganglia circuits contributing reward prediction |
title_sort | morphological elucidation of basal ganglia circuits contributing reward prediction |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318281/ https://www.ncbi.nlm.nih.gov/pubmed/25698913 http://dx.doi.org/10.3389/fnins.2015.00006 |
work_keys_str_mv | AT fujiyamafumino morphologicalelucidationofbasalgangliacircuitscontributingrewardprediction AT takahashisusumu morphologicalelucidationofbasalgangliacircuitscontributingrewardprediction AT karubefuyuki morphologicalelucidationofbasalgangliacircuitscontributingrewardprediction |