| Presentation | 2001/11/9 An Analysis of Temporally Asymmetric Hebbian Learning Kiyotoshi MATSUOKA, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Among a lot of models for learning in neural networks, Hebbian and anti-Hebbian learnings might be the most familiar ones. Although there are many variants, the most typical paradigms are such that when pre-and post-synaptic activations(firing)occur at the same time, synaptic efficacy is increased(Hebbian)or decreased(anti-Hebbian). According recent neurophysiological observations, however, synaptic modification in neurons depends on the precise temporal relation between pre-synaptic and post-synaptic activities. Namely, pre-synaptic spikes that precede postsynaptic firing lead to synaptic potentiation, while those that follow postsynaptic firing elicit synaptic depression. This kind of asymmetric feature of neural plasticity seems to play a very important role in temporal behavior of animals. The purpose of this study is to address certain potential implications of the asymmetric Hebbian(anti-Hebbian)learning through a mathematical model and computer simulations. Although the neuron model and the learning rule used in this study are extremely simplified compared with those of real neurons, they can explain some salient features of temporal behavior in animals. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hebbian learning / Anti-Hebbian learning / unsupervised learning |
| Paper # | NC 2001-64 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 2001/11/9(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) | An Analysis of Temporally Asymmetric Hebbian Learning |
| Sub Title (in English) | |
| Keyword(1) | Hebbian learning |
| Keyword(2) | Anti-Hebbian learning |
| Keyword(3) | unsupervised learning |
| 1st Author's Name | Kiyotoshi MATSUOKA |
| 1st Author's Affiliation | Department of Brain Science and Engineering, Kyushu Institute of Technology() |
| Date | 2001/11/9 |
| Paper # | NC 2001-64 |
| Volume (vol) | vol.101 |
| Number (no) | 432 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |