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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
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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)  
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)  
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  
2nd Author's Affiliation 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
Date of Issue 2007-03-08 (MBE) 


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