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Volumn 17, Issue 12, 2005, Pages 2635-2647

On the nonlearnability of a single spiking neuron

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CORTICAL SYNCHRONIZATION; METHODOLOGY; NERVE CELL; PHYSIOLOGY;

EID: 27144501832     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/089976605774320601     Document Type: Article
Times cited : (10)

References (28)
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    • Hegedüs, T.1    Megiddo, N.2
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    • 0031472340 scopus 로고    scopus 로고
    • Networks of spiking neurons: The third generation of neural network models
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    • Maass, W.1
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    • 0004512775 scopus 로고    scopus 로고
    • On the complexity of learning for spiking neurons with temporal coding
    • Maass, W., & Schmitt, M. (1999). On the complexity of learning for spiking neurons with temporal coding. Information and Computation, 153(1), 26-46.
    • (1999) Information and Computation , vol.153 , Issue.1 , pp. 26-46
    • Maass, W.1    Schmitt, M.2
  • 20
    • 0024092215 scopus 로고
    • Computational limitations on learning from examples
    • Pitt, L., & Valiant, L. G. (1988). Computational limitations on learning from examples. Journal of the ACM, 35(4), 965-984.
    • (1988) Journal of the ACM , vol.35 , Issue.4 , pp. 965-984
    • Pitt, L.1    Valiant, L.G.2
  • 21
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386-408.
    • (1958) Psychological Review , vol.65 , Issue.6 , pp. 386-408
    • Rosenblatt, F.1
  • 22
    • 0029270836 scopus 로고
    • Classification of linearly nonseparable patterns by linear threshold elements
    • Roychowdhury, V. P., Siu, K.-Y., & Kailath, T. (1995). Classification of linearly nonseparable patterns by linear threshold elements. IEEE Transactions on Neural Networks, 6(2), 318-331.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , Issue.2 , pp. 318-331
    • Roychowdhury, V.P.1    Siu, K.-Y.2    Kailath, T.3
  • 24
    • 0032236218 scopus 로고    scopus 로고
    • On computing Boolean functions by a spiking neuron
    • Schmitt, M. (1998). On computing Boolean functions by a spiking neuron. Annals of Mathematics and Artificial Intelligence, 24(1-4), 181-191.
    • (1998) Annals of Mathematics and Artificial Intelligence , vol.24 , Issue.1-4 , pp. 181-191
    • Schmitt, M.1
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    • Training a single sigmoidal neuron is hard
    • Šíma, J. (2002). Training a single sigmoidal neuron is hard. Neural Computation, 14(11), 2709-2728.
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    • Šíma, J.1
  • 27
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    • A theory of the learnable
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    • Valiant, L.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.