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Volumn 58-60, Issue , 2004, Pages 343-350

Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation

Author keywords

Energy efficient; Prediction; Pruning; Shedding; Sparse connectivity

Indexed keywords

CORRELATION METHODS; DATA PROCESSING; PLASTICITY;

EID: 2542486670     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.01.065     Document Type: Article
Times cited : (10)

References (12)
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  • 2
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  • 3
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  • 4
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    • (1989) Computational Models of Learning in Simple Neural Systems , pp. 243-305
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  • 5
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  • 6
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    • Energy efficient neural codes
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  • 7
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    • Elemental adaptive processes of neurons and synapses: A statistical/computational perspective
    • M. A. Gluck, & D. E. Rumelhart (Eds.), Hillsdale, NJ: Lawrence Erlbaum
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  • 8
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    • The statistical relationship between connectivity and neural activity in fractionally connected feed-forward networks
    • Levy W.B Delic H. Adelsberger-Mangan D.M. The statistical relationship between connectivity and neural activity in fractionally connected feed-forward networks Biol. Cybern. 80 1999 131-139
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    • Another contribution by synaptic failures to energy efficient processing by neurons
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.