Presentation | 2002/3/13 A cerebellar model for synchronization of finger tapping to an auditory stimulus sequence Minseok KIM, Kiyohiko NAKAMURA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Sensorimotor timing is essential to the execution of skilled movements. Synchronization of finger tapping to an auditory stimulus sequence is one of the experimental paradigms used to study sensorimotor timing mechanisms. In contrast to the previous theoretical models for synchronization task, this study proposes a model based on the neural network of the cerebellum. In the present model, temporal coding by granule-golgi-granule cell negative feedback and eligibility trace to solve temporal credit assignment problem are used as well as the well-known synaptic plasticity in the cerebellum. It is shown that the present model can learn appropriately timed tapping. The phenomena observed in synchronization task are qualitatively reproduced. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Synchronization / Cerebellum / Temporal coding / Eligibility trace / LTP / LTD |
Paper # | NC2001-218 |
Date of Issue |
Conference Information | |
Committee | NC |
---|---|
Conference Date | 2002/3/13(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Neurocomputing (NC) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A cerebellar model for synchronization of finger tapping to an auditory stimulus sequence |
Sub Title (in English) | |
Keyword(1) | Synchronization |
Keyword(2) | Cerebellum |
Keyword(3) | Temporal coding |
Keyword(4) | Eligibility trace |
Keyword(5) | LTP |
Keyword(6) | LTD |
1st Author's Name | Minseok KIM |
1st Author's Affiliation | Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Kiyohiko NAKAMURA |
2nd Author's Affiliation | Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
Date | 2002/3/13 |
Paper # | NC2001-218 |
Volume (vol) | vol.101 |
Number (no) | 737 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |