| Presentation | 2017-06-23 Artificial cerebellar neuronal network model for context dependent flexible motor learning Shogo Takatori, Keiichiro Inagaki, Yutaka Hirata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The vestibule-ocular reflex (VOR) has been one of the most popular model systems to investigate the role of the cerebellum in adaptive motor control. VOR motor learning is induced by continuous application of head rotating stimulus combined with optokinetic visual stimulus. For instance, in-phase application of those stimuli increases VOR gain defined by eye velocity of VOR in the dark divided by head velocity, while out-of-phase application of those decreases VOR gain. Recently, it was reported that performance of the VOR is modifiable context-dependently. Namely, VOR gain can be increased for leftward head rotation, while it can be decreased for rightward head rotation simultaneously. This instance implies the possibility that the cerebellum flexibly processes context dependent input signals. In the VOR motor learning, it is considered that long term depression and long term potentiation at the synapses between parallel fibers and Purkinje cells play a key role. Moreover, it has been revealed that different modality of input signals of VOR are tuned for gain increase and gain decrease learning. Cerebellar signal processing underlying context dependent motor learning, however, is not fully uncovered. Presently, we conducted a simulation study on context dependent VOR motor learning, using the artificial cerebellar neuronal network model that we developed to understand the origin of the flexible cerebellar motor learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Eye movement / Vestibular system / Spike timing dependent plasticity / Large scale simulation, |
| Paper # | NC2017-7 |
| Date of Issue | 2017-06-16 (NC) |
| Conference Information | |
| Committee | NC / IPSJ-BIO / IBISML / IPSJ-MPS |
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| Conference Date | 2017/6/23(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Masafumi Hagiwara(Keio Univ.) / / Kenji Fukumizu(ISM) |
| Vice Chair | Yutaka Hirata(Chubu Univ.) / / Masashi Sugiyama(Univ. of Tokyo) |
| Secretary | Yutaka Hirata(Tokyo Inst. of Tech.) / (Nagoya Univ.) / Masashi Sugiyama / (Kyoto Univ.) |
| Assistant | Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / / Ichiro Takeuchi(Nagoya Inst. of Tech.) / Toshihiro Kamishima(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Special Interest Group on Bioinformatics and Genomics / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Artificial cerebellar neuronal network model for context dependent flexible motor learning |
| Sub Title (in English) | |
| Keyword(1) | Eye movement |
| Keyword(2) | Vestibular system |
| Keyword(3) | Spike timing dependent plasticity |
| Keyword(4) | Large scale simulation, |
| 1st Author's Name | Shogo Takatori |
| 1st Author's Affiliation | Chubu University(Chubu Univ.) |
| 2nd Author's Name | Keiichiro Inagaki |
| 2nd Author's Affiliation | Chubu University(Chubu Univ.) |
| 3rd Author's Name | Yutaka Hirata |
| 3rd Author's Affiliation | Chubu University(Chubu Univ.) |
| Date | 2017-06-23 |
| Paper # | NC2017-7 |
| Volume (vol) | vol.117 |
| Number (no) | NC-109 |
| Page | pp.pp.15-20(NC), |
| #Pages | 6 |
| Date of Issue | 2017-06-16 (NC) |