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Computational Model of the Cerebellum and the Basal Ganglia for Interval Timing Learning

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 9950)

Abstract

In temporal information processing, both the cerebellum and the basal ganglia play essential roles. In particular, for interval timing learning, the cerebellum exhibits temporally localized activity around the onset of the unconditioned stimulus, whereas the basal ganglia represents the passage of time by their ramping-up activity from the onset of the conditioned stimulus to that of the unconditioned stimulus. We present a unified computational model of the cerebellum and the basal ganglia for the interval timing learning task. We report that our model reproduces the localized activity in the cerebellum and the gradual increase of the activity in the basal ganglia. These results suggest that the cerebellum and the basal ganglia play different roles in temporal information processing.

Keywords

  • Computational model
  • Cerebellum
  • Basal ganglia
  • Interval timing
  • Relay hypothesis

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Acknowledgment

We would like to thank Professor Masaki Tanaka at Hokkaido University for fruitful discussions on his relay hypothesis. Part of this work was supported by JSPS KAKENHI Grant Number 26119511. This paper is based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).

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Correspondence to Ohki Katakura .

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Katakura, O., Yamazaki, T. (2016). Computational Model of the Cerebellum and the Basal Ganglia for Interval Timing Learning. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9950. Springer, Cham. https://doi.org/10.1007/978-3-319-46681-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-46681-1_30

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