Reward prediction error coding in dorsal striatal neurons

Kei Oyama, I. Hernádi, Toshio Iijima, Ken Ichiro Tsutsui

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

In the current theory of learning, the reward prediction error (RPE), the difference between expected and received reward, is thought to be a key factor in reward-based learning, working as a teaching signal. The activity of dopamine neurons is known to code RPE, and the release of dopamine is known to modify the strength of synaptic connectivity in the target neurons. A fundamental interest in current neuroscience concerns the origin of RPE signals in the brain. Here, we show that a group of rat striatal neurons show a clear parametric RPE coding similar to that of dopamine neurons when tested under probabilistic pavlovian conditioning. Together with the fact that striatum and dopamine neurons have strong direct and indirect fiber connections, the result suggests that the striatum plays an important role in coding RPE signal by cooperating with dopamine neurons.

Original languageEnglish
Pages (from-to)11447-11457
Number of pages11
JournalJournal of Neuroscience
Volume30
Issue number34
DOIs
Publication statusPublished - Aug 25 2010

Fingerprint

Corpus Striatum
Reward
Neurons
Dopaminergic Neurons
Learning
Neurosciences
Dopamine
Teaching
Brain

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Reward prediction error coding in dorsal striatal neurons. / Oyama, Kei; Hernádi, I.; Iijima, Toshio; Tsutsui, Ken Ichiro.

In: Journal of Neuroscience, Vol. 30, No. 34, 25.08.2010, p. 11447-11457.

Research output: Contribution to journalArticle

Oyama, Kei ; Hernádi, I. ; Iijima, Toshio ; Tsutsui, Ken Ichiro. / Reward prediction error coding in dorsal striatal neurons. In: Journal of Neuroscience. 2010 ; Vol. 30, No. 34. pp. 11447-11457.
@article{7d87907418f848eba9769f8ba34da5f3,
title = "Reward prediction error coding in dorsal striatal neurons",
abstract = "In the current theory of learning, the reward prediction error (RPE), the difference between expected and received reward, is thought to be a key factor in reward-based learning, working as a teaching signal. The activity of dopamine neurons is known to code RPE, and the release of dopamine is known to modify the strength of synaptic connectivity in the target neurons. A fundamental interest in current neuroscience concerns the origin of RPE signals in the brain. Here, we show that a group of rat striatal neurons show a clear parametric RPE coding similar to that of dopamine neurons when tested under probabilistic pavlovian conditioning. Together with the fact that striatum and dopamine neurons have strong direct and indirect fiber connections, the result suggests that the striatum plays an important role in coding RPE signal by cooperating with dopamine neurons.",
author = "Kei Oyama and I. Hern{\'a}di and Toshio Iijima and Tsutsui, {Ken Ichiro}",
year = "2010",
month = "8",
day = "25",
doi = "10.1523/JNEUROSCI.1719-10.2010",
language = "English",
volume = "30",
pages = "11447--11457",
journal = "Journal of Neuroscience",
issn = "0270-6474",
publisher = "Society for Neuroscience",
number = "34",

}

TY - JOUR

T1 - Reward prediction error coding in dorsal striatal neurons

AU - Oyama, Kei

AU - Hernádi, I.

AU - Iijima, Toshio

AU - Tsutsui, Ken Ichiro

PY - 2010/8/25

Y1 - 2010/8/25

N2 - In the current theory of learning, the reward prediction error (RPE), the difference between expected and received reward, is thought to be a key factor in reward-based learning, working as a teaching signal. The activity of dopamine neurons is known to code RPE, and the release of dopamine is known to modify the strength of synaptic connectivity in the target neurons. A fundamental interest in current neuroscience concerns the origin of RPE signals in the brain. Here, we show that a group of rat striatal neurons show a clear parametric RPE coding similar to that of dopamine neurons when tested under probabilistic pavlovian conditioning. Together with the fact that striatum and dopamine neurons have strong direct and indirect fiber connections, the result suggests that the striatum plays an important role in coding RPE signal by cooperating with dopamine neurons.

AB - In the current theory of learning, the reward prediction error (RPE), the difference between expected and received reward, is thought to be a key factor in reward-based learning, working as a teaching signal. The activity of dopamine neurons is known to code RPE, and the release of dopamine is known to modify the strength of synaptic connectivity in the target neurons. A fundamental interest in current neuroscience concerns the origin of RPE signals in the brain. Here, we show that a group of rat striatal neurons show a clear parametric RPE coding similar to that of dopamine neurons when tested under probabilistic pavlovian conditioning. Together with the fact that striatum and dopamine neurons have strong direct and indirect fiber connections, the result suggests that the striatum plays an important role in coding RPE signal by cooperating with dopamine neurons.

UR - http://www.scopus.com/inward/record.url?scp=77956129657&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956129657&partnerID=8YFLogxK

U2 - 10.1523/JNEUROSCI.1719-10.2010

DO - 10.1523/JNEUROSCI.1719-10.2010

M3 - Article

VL - 30

SP - 11447

EP - 11457

JO - Journal of Neuroscience

JF - Journal of Neuroscience

SN - 0270-6474

IS - 34

ER -