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J-GLOBAL ID：201302288125718475   Reference number：13A0152761

Effects of synaptic connectivity on liquid state machine performance

Liquid State Machine性能におけるシナプス結合性の影響

Author (4)： JU Han ,  XU Jian-xin ,  CHONG Edmund ,  VANDONGEN Antonius M.J.
Material： Neural Networks  (Neural Netw)
Volume： 38  Page： 39-51  Publication year： Feb. 2013 
JST Material Number： T0698A  ISSN： 0893-6080  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Thesaurus term： *neural network(biomodel) ,...
Semi thesaurus term： *Liquid State Machine ,...

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JST classification (4)： Neurocomputers  (JC06010Q) ,  Central nervous system  (EJ12030F) ,  Brain and nervous system models  (EL02050C) ,  Artificial intelligence  (JE08000Z)

Reference (42)：

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• Amaral, L. A., Scala, A., Barthelemy, M., & Stanley, H. E. (2000). Classes of small-world networks. Proceedings of the National Academy of Sciences of the United States of America, 97,11149-11152.
• Baker, J. L (2003). Is there a support vector machine hiding in the dentate gyrus? Neurocomputing, 52-54, 199-207.
• Bakker, A., Kirwan, C. B., Miller, M., & Stark, C. E. (2008). Pattern separation in the human hippocampal CA3 and dentate gyrus. Science, 319, 1640-1642.
• Barbour, B., Brunel, N., Hakim, V., & Nadal, J. P. (2007). What can we learn from synaptic weight distributions? Trends in Neurosciences, 30, 622-629.

Terms in the title (1)： シナプス結合