Calcium responses model in striatum dependent on timed input sources

Takashi Nakano, Junichiro Yoshimoto, Jeff Wickens, Kenji Doya

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The striatum is the input nucleus of the basal ganglia and is thought to be involved in reinforcement learning. The striatum receives glutamate input from the cortex, which carries sensory information, and dopamine input from the substantia nigra, which carries reward information. Dopamine-dependent plasticity of cortico-striatal synapses is supposed to play a critical role in reinforcement learning. Recently, a number of labs reported contradictory results of its dependence on the timing of cortical inputs and spike output. To clarify the mechanisms behind spike timing-dependent plasticity of striatal synapses, we investigated spike timing-dependence of intracellular calcium concentration by constructing a striatal neuron model with realistic morphology. Our simulation predicted that the calcium transient will be maximal when cortical spike input and dopamine input precede the postsynaptic spike. The gain of the calcium transient is enhanced during the "up-state" of striatal cells and depends critically on NMDA receptor currents.

本文言語English
ホスト出版物のタイトルArtificial Neural Networks - ICANN 2009 - 19th International Conference, Proceedings
ページ249-258
ページ数10
PART 1
DOI
出版ステータスPublished - 06-11-2009
外部発表はい
イベント19th International Conference on Artificial Neural Networks, ICANN 2009 - Limassol, Cyprus
継続期間: 14-09-200917-09-2009

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
5768 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference19th International Conference on Artificial Neural Networks, ICANN 2009
国/地域Cyprus
CityLimassol
Period14-09-0917-09-09

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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