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Optimal network architectures for short-term memory under different biological settings
Author(s) -
Goldman Mark
Publication year - 2010
Publication title -
frontiers in neuroscience
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.499
H-Index - 102
eISSN - 1662-4548
pISSN - 1662-453X
DOI - 10.3389/conf.fnins.2010.03.00271
Subject(s) - attractor , computer science , short term memory , stimulus (psychology) , artificial neural network , working memory , neuroscience , feed forward , uncorrelated , network dynamics , offset (computer science) , network architecture , artificial intelligence , cognition , psychology , cognitive psychology , mathematics , computer network , mathematical analysis , statistics , discrete mathematics , control engineering , engineering , programming language

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