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Volumn 11, Issue 1, 2000, Pages 17-27

Learning synaptic clusters for nonlinear dendritic processing

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; TOPOLOGY;

EID: 0034141054     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009634821039     Document Type: Article
Times cited : (15)

References (11)
  • 1
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    • Encoding of spatial location by posterior parietal neurons
    • Anderson, R. A., Essich, G. K. and Siegal, R. M.: Encoding of spatial location by posterior parietal neurons, Science 230 (1985), 456-458.
    • (1985) Science , vol.230 , pp. 456-458
    • Anderson, R.A.1    Essich, G.K.2    Siegal, R.M.3
  • 2
    • 0027990312 scopus 로고
    • Translation invariance in the responses to faces of single neurons in the temporal visual cortical areas of the alert macaque
    • Tovee, M. J., Rolls, E. T. and Azzopardi, P.: Translation invariance in the responses to faces of single neurons in the temporal visual cortical areas of the alert macaque, Journal of Neurophysiology 72(3) (1994), 1049-1060.
    • (1994) Journal of Neurophysiology , vol.72 , Issue.3 , pp. 1049-1060
    • Tovee, M.J.1    Rolls, E.T.2    Azzopardi, P.3
  • 3
    • 0000898841 scopus 로고
    • Information processing in dendritic trees
    • Mel, B.W.: Information processing in dendritic trees, Neural Computation 6 (1994), 1031-1085.
    • (1994) Neural Computation , vol.6 , pp. 1031-1085
    • Mel, B.W.1
  • 4
    • 49049129797 scopus 로고
    • Connectionist models and their properties
    • Feldman, J. A. and Ballard, D. H.: Connectionist models and their properties, Cognitive Science 6 (1982), 205-254.
    • (1982) Cognitive Science , vol.6 , pp. 205-254
    • Feldman, J.A.1    Ballard, D.H.2
  • 5
    • 0342765219 scopus 로고
    • The sigma-pi column: A model of associative learning in cerebral cortex
    • California Institute of Technology
    • Mel, B. W.: The sigma-pi column: A model of associative learning in cerebral cortex, Technical Report CNS Memo 6, Computation and Neural Systems Program, California Institute of Technology, 1990.
    • (1990) Technical Report CNS Memo 6, Computation and Neural Systems Program , vol.6
    • Mel, B.W.1
  • 7
    • 0000546354 scopus 로고
    • Sigma-pi learning: On radial basis functions and cortical associative learning
    • D. S. Touretzsky (ed.), Morgan Kaufmann, San Mateo, CA
    • Mel, B. W. and Koch, C.: Sigma-pi learning: On radial basis functions and cortical associative learning, In: D. S. Touretzsky (ed.), Advances in Neural Information Processing Systems 2, Morgan Kaufmann, San Mateo, CA, 1990, pp. 474-481.
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 474-481
    • Mel, B.W.1    Koch, C.2
  • 8
    • 0000221271 scopus 로고
    • Product units: A computationally powerful and biologically plausible extention to backpropagation networks
    • Durbin, R. and Rumelhart, D. E.: Product units: A computationally powerful and biologically plausible extention to backpropagation networks, Neural Computation 1 (1990), 133-142.
    • (1990) Neural Computation , vol.1 , pp. 133-142
    • Durbin, R.1    Rumelhart, D.E.2
  • 9
    • 0002383423 scopus 로고
    • The clusteron: Toward a simple abstraction for a complex neuron
    • J. E. Moody, S. J. Hanson and R. P. Lippmann (eds.), Morgan Kauffmann, San Mateo, CA
    • Mel, B. W.: The clusteron: Toward a simple abstraction for a complex neuron, In: J. E. Moody, S. J. Hanson and R. P. Lippmann (eds.), Advances in Neural Information Processing Systems 4, Morgan Kauffmann, San Mateo, CA, 1992.
    • (1992) Advances in Neural Information Processing Systems , vol.4
    • Mel, B.W.1
  • 10
    • 0000188120 scopus 로고
    • Learning invariance from transformation sequences
    • Földiák, P.: Learning invariance from transformation sequences, Neural Computation 3 (1991), 194-200.
    • (1991) Neural Computation , vol.3 , pp. 194-200
    • Földiák, P.1
  • 11
    • 0039765609 scopus 로고
    • Learning to categorize objects using temporal coherence
    • S. J. Hanson, J. D. Cowan and C. L. Giles (eds.), Morgan Kaufmann, San Mateo, CA
    • Becker, S.: Learning to categorize objects using temporal coherence, In: S. J. Hanson, J. D. Cowan and C. L. Giles (eds.), Advances in Neural Information Processing Systems 5, Morgan Kaufmann, San Mateo, CA, 1993, pp. 361-368.
    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 361-368
    • Becker, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.