| Presentation | 2011-07-01 New supervised learning algorithms for spiking neural networks Satoshi MATSUDA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Spiking neurons have received a lot of attention because of their biological plausibility, and many learning algorithms have been proposed. We propose two learning algorithms for spiking neurons; one is derived based on Widrow delta rule and other is directly derived by steepes descent method, which guarantees the convergence of learning. Theoretical analysis is made and the relationship between two learning algorithms is also given. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | spiking neuron / supervised learning algorithm / Widrow delta rule / steepest descent method / ReSuMe |
| Paper # | NLP2011-37 |
| Date of Issue |
| Conference Information | |
| Committee | NLP |
|---|---|
| Conference Date | 2011/6/23(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 | Nonlinear Problems (NLP) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | New supervised learning algorithms for spiking neural networks |
| Sub Title (in English) | |
| Keyword(1) | spiking neuron |
| Keyword(2) | supervised learning algorithm |
| Keyword(3) | Widrow delta rule |
| Keyword(4) | steepest descent method |
| Keyword(5) | ReSuMe |
| 1st Author's Name | Satoshi MATSUDA |
| 1st Author's Affiliation | College of Industrial Technology, Nihon University() |
| Date | 2011-07-01 |
| Paper # | NLP2011-37 |
| Volume (vol) | vol.111 |
| Number (no) | 106 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |