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Volumn 56, Issue 4, 1997, Pages 4567-4573

Stochastic learning in a neural network with adapting synapses

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Indexed keywords


EID: 0006986204     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.56.4567     Document Type: Article
Times cited : (12)

References (19)
  • 1
    • 85037214917 scopus 로고    scopus 로고
    • Modeling Brain Function (Cambridge University Press, 1989)
    • D. J. Amit, Modeling Brain Function (Cambridge University Press, 1989);
    • Amit, D.J.1
  • 18
  • 19
    • 85037216812 scopus 로고    scopus 로고
    • a fully connected network is considered and the capacity is proportional to (Formula presented), where (Formula presented) is the number of neurons in the network. The same analysis holds in a diluted network where each neuron is connected to (Formula presented) random input neurons and the capacity in this case is proportional to (Formula presented)
    • a fully connected network is considered and the capacity is proportional to (Formula presented), where (Formula presented) is the number of neurons in the network. The same analysis holds in a diluted network where each neuron is connected to (Formula presented) random input neurons and the capacity in this case is proportional to (Formula presented).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.