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Volumn 38, Issue 12, 1991, Pages 1430-1438

Analog CMOS Synaptic Learning Circuits Adapted from Invertebrate Biology

Author keywords

[No Author keywords available]

Indexed keywords

AMPLIFIERS; ARTIFICIAL INTELLIGENCE; COMPUTERS, ANALOG; INTEGRATED CIRCUITS, CMOS; MATHEMATICAL TECHNIQUES - TRANSFER FUNCTIONS;

EID: 0026366580     PISSN: 00984094     EISSN: None     Source Type: Journal    
DOI: 10.1109/31.108497     Document Type: Article
Times cited : (19)

References (15)
  • 2
    • 0002857399 scopus 로고
    • Synaptic modulation and learning: New insights into synaptic transmission from the study of behavior
    • G.M. Edelman, W.E. Gall, and W.M. Cowan, Eds. New York: Wiley, ch. 19
    • E.R. Kandel, M. Klein, B. Hochner, M. Shuster, S.A. Siegelbaum, R.D. Hawkins, D.L. Glanzman, V.F. Castellucci, and T.W. Abrams, “Synaptic modulation and learning: New insights into synaptic transmission from the study of behavior,” in Synaptic Function, G.M. Edelman, W.E. Gall, and W.M. Cowan, Eds. New York: Wiley, 1987, ch. 19, pp. 471–518.
    • (1987) Synaptic Function , pp. 471-518
    • Kandel, E.R.1    Klein, M.2    Hochner, B.3    Shuster, M.4    Siegelbaum, S.A.5    Hawkins, R.D.6    Glanzman, D.L.7    Castellucci, V.F.8    Abrams, T.W.9
  • 4
    • 0025263024 scopus 로고
    • Silicon models of associative learning in Aplysia
    • H.C. Card and W.R. Moore, “Silicon models of associative learning in Aplysia,” Neural Networks, vol. 3, pp. 333–446, 1990.
    • (1990) Neural Networks , vol.3 , pp. 333-446
    • Card, H.C.1    Moore, W.R.2
  • 6
    • 84941493307 scopus 로고    scopus 로고
    • An analog VLSI splining circuit
    • to be published.
    • D.B. Schwartz and V.K. Samalam, “An analog VLSI splining circuit,” in Proc. NIPS-90, to be published.
    • Proc. NIPS-90
    • Schwartz, D.B.1    Samalam, V.K.2
  • 7
    • 0010545787 scopus 로고    scopus 로고
    • Relaxation networks for large supervised learning problems
    • to be published.
    • J. Alspector, R.B. Allen, and A. Jayakumar, “Relaxation networks for large supervised learning problems,” in Proc. NIPS-90, to be published.
    • Proc. NIPS-90
    • Alspector, J.1    Allen, R.B.2    Jayakumar, A.3
  • 9
    • 0003049265 scopus 로고    scopus 로고
    • Evolving analog VLSI neurons
    • Proceedings of the ONR Meeting, T. McKenna, J. Davis, S. Zornetzer, Eds. Woods Hole, MA: Academic, to be published, ch. 15.
    • M.A. Mahowald, “Evolving analog VLSI neurons,” Single Neuron Computation, Proceedings of the ONR Meeting, T. McKenna, J. Davis, S. Zornetzer, Eds. Woods Hole, MA: Academic, to be published, ch. 15.
    • Single Neuron Computation
    • Mahowald, M.A.1
  • 13
    • 0011709905 scopus 로고
    • Issues in analog VLSI and MOS techniques for neural computing
    • C.A. Mead and M. Ismail, Eds. Boston, MA: Kluwer
    • S. Bibyk and M. Ismail, “Issues in analog VLSI and MOS techniques for neural computing,” Analog VLSI Implementation of Neural Systems, C.A. Mead and M. Ismail, Eds. Boston, MA: Kluwer, 1989.
    • (1989) Analog VLSI Implementation of Neural Systems
    • Bibyk, S.1    Ismail, M.2
  • 14
    • 33746159118 scopus 로고
    • Design and fabrication of a general purpose analog neural computer
    • C.A. Mead and M. Ismail, Eds. Boston, MA: Kluwer
    • P. Mueller et al., “Design and fabrication of a general purpose analog neural computer,” Analog VLSI Implementation of Neural Systems, C.A. Mead and M. Ismail, Eds. Boston, MA: Kluwer, 1989.
    • (1989) Analog VLSI Implementation of Neural Systems
    • Mueller, P.1
  • 15
    • 0024901271 scopus 로고
    • Explorations of the mean field theory learning algorithm
    • C. Peterson and E. Hartman, “Explorations of the mean field theory learning algorithm,” Neural Networks, vol. 2, pp. 475–494, 1989.
    • (1989) Neural Networks , vol.2 , pp. 475-494
    • Peterson, C.1    Hartman, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.