| Paper Abstract and Keywords |
| Presentation |
2007-03-15 14:50
A simulation study of a cortical neural network model for spatiotemporal pattern classification
Hiromasa Yamashita, Tatsuo Togawa (Waseda Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Although a great many studies have been performed on artificial neural network systems, most of the proposed systems differ from the actual brain in their network structure and function. To achieve a network structure similar to the cerebral cortex, the new cortical neural network model was proposed in which neurons as threshold elements are arranged in a single layer having feedback through a “winner-takes-all” algorithm. Recruitment of a virgin neuron when no neuron responds to an input was also assumed. An unsupervised learning simulation was performed. Inputs consisted of 8-bit vectors applied sequentially, and a modified Hebbian learning scheme was assumed at the input connections of each neuron. It was confirmed that the learning converged so that excitation of a specific neuron occurred for each input among 7 to 56 combinations of successively applied two-input vectors. The data showed that this model achieved spatiotemporal pattern classification in an unsupervised manner. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
cortical neural network / single-cell-representation / pattern classification / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 106, no. 591, MBE2006-128, pp. 41-44, March 2007. |
| Paper # |
MBE2006-128 |
| Date of Issue |
2007-03-08 (MBE) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
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| Conference Information |
| Committee |
MBE |
| Conference Date |
2007-03-15 - 2007-03-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tamagawa Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
MBE |
| Conference Code |
2007-03-MBE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A simulation study of a cortical neural network model for spatiotemporal pattern classification |
| Sub Title (in English) |
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| Keyword(1) |
cortical neural network |
| Keyword(2) |
single-cell-representation |
| Keyword(3) |
pattern classification |
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| 1st Author's Name |
Hiromasa Yamashita |
| 1st Author's Affiliation |
Waseda University (Waseda Univ.) |
| 2nd Author's Name |
Tatsuo Togawa |
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Waseda University (Waseda Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2007-03-15 14:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
MBE |
| Paper # |
MBE2006-128 |
| Volume (vol) |
vol.106 |
| Number (no) |
no.591 |
| Page |
pp.41-44 |
| #Pages |
4 |
| Date of Issue |
2007-03-08 (MBE) |