| Presentation | 2011-01-24 Maximization of learning speed in motor cortex due to neuron redundancy Ken TAKIYAMA, Masato OKADA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Neurons are overwhelmingly more numerous than muscles in our motor system. However, an open question remains as to what the functional and computational roles of this neuron redundancy are. Our analysis on a neural network model, assuming visuomotor or force field adaptation, revealed that learning speed reaches its maximum value if the model includes sufficient neuron redundancy. Neuron redundancy also yields the equivalence between a learning rule of synaptic weights and a model for sensorimotor learning, or linear dynamical system. We subsequently run numerical simulations of more biological plausible neural network models. The results suggest that neuron redundancy contributes to maximizing learning speed and also that the learning curves observed in behavioral experiments are tuned to be as fast as possible. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural network / Motor cortex / Generalization function / Motor learning / Redundant network |
| Paper # | NLP2010-139,NC2010-103 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2011/1/17(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Maximization of learning speed in motor cortex due to neuron redundancy |
| Sub Title (in English) | |
| Keyword(1) | Neural network |
| Keyword(2) | Motor cortex |
| Keyword(3) | Generalization function |
| Keyword(4) | Motor learning |
| Keyword(5) | Redundant network |
| 1st Author's Name | Ken TAKIYAMA |
| 1st Author's Affiliation | Graduate School of Frontier Sciences, The University of Tokyo() |
| 2nd Author's Name | Masato OKADA |
| 2nd Author's Affiliation | Brain Science Institute, RIKEN |
| Date | 2011-01-24 |
| Paper # | NLP2010-139,NC2010-103 |
| Volume (vol) | vol.110 |
| Number (no) | 388 |
| Page | pp.pp.- |
| #Pages | 6 |
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