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Volumn 63, Issue 3, 2001, Pages

Adaptive learning by extremal dynamics and negative feedback

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ADAPTATION; BIOLOGICAL MODEL; COMPUTER SIMULATION; FEEDBACK SYSTEM; LEARNING; NERVE CELL; NERVE CELL NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY; STATISTICS; SYNAPTIC TRANSMISSION;

EID: 0035276891     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.63.031912     Document Type: Article
Times cited : (81)

References (22)
  • 7
    • 85035262827 scopus 로고    scopus 로고
    • From URL http://www.santafe.edu/ dchialvo/ or http://www.ma.ic.ac.uk/pbak
    • From URL http://www.santafe.edu/ dchialvo/ or http://www.ma.ic.ac.uk/pbak
  • 8
    • 85035286067 scopus 로고    scopus 로고
    • The “outside world” could be other parts of the organism, or even other parts of the brain
    • The “outside world” could be other parts of the organism, or even other parts of the brain.
  • 16
    • 85035286677 scopus 로고    scopus 로고
    • M.L. Minsky and S. A. Papert. Perceptrons. An Introduction to Computational Geometry (MIT Press, Cambridge, MA, 1969)
    • M.L. Minsky and S. A. Papert. Perceptrons. An Introduction to Computational Geometry (MIT Press, Cambridge, MA, 1969).
  • 20
    • 15744401041 scopus 로고
    • for a review see, P. Bak, How Nature Works: The Science of Self-Organized Criticality (Oxford University Press, Oxford, 1997)
    • P. BakC. TangK. WiesenfeldPhys. Rev. A 38, 364 (1988);for a review see, P. Bak, How Nature Works: The Science of Self-Organized Criticality (Oxford University Press, Oxford, 1997).
    • (1988) Phys. Rev. A , vol.38 , pp. 364
    • Bak, P.1    Tang, C.2    Wiesenfeld, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.