메뉴 건너뛰기




Volumn 14, Issue 3, 1997, Pages 227-239

Signal transcoding by nonlinear sensory neurons: Information-entropy maximization, optimal transfer function, and anti-Hebbian adaptation

Author keywords

Anti hebbian adaptation; Entropy maximization; Information entropy; Neuron; Sensory processing; Signal transcoding

Indexed keywords

ADAPTATION; ANIMAL; ARTICLE; BIOLOGICAL MODEL; HUMAN; MATHEMATICS; NONLINEAR SYSTEM; PHYSIOLOGY; SENSORY NERVE CELL; SIGNAL TRANSDUCTION; SYNAPTIC TRANSMISSION;

EID: 0031228773     PISSN: 02650746     EISSN: None     Source Type: Journal    
DOI: 10.1093/imammb/14.3.227     Document Type: Article
Times cited : (1)

References (23)
  • 1
    • 0040818402 scopus 로고
    • Temporal information processing in synapses, cells, and circuits
    • T. McKenna, J. Davis, & S. F. Zornetzer, eds., San Diego: Academic Press
    • ANTÓN, P. S., GRANGER, R., & LINCH, R., 1992. Temporal information processing in synapses, cells, and circuits. In: Single Neuron Computation (T. McKenna, J. Davis, & S. F. Zornetzer, eds.), pp. 291-313. San Diego: Academic Press.
    • (1992) Single Neuron Computation , pp. 291-313
    • Antón, P.S.1    Granger, R.2    Linch, R.3
  • 2
    • 34548281969 scopus 로고
    • Could information theory provide an ecological theory of sensory processing?
    • ATICK, J. J., 1992. Could information theory provide an ecological theory of sensory processing? Network: Comput. Neural Syst., 3, 213-51.
    • (1992) Network: Comput. Neural Syst. , vol.3 , pp. 213-251
    • Atick, J.J.1
  • 3
    • 0001471775 scopus 로고
    • Unsupervised learning
    • BARLOW, H. B., 1989. Unsupervised learning. Neural Comput., 1, 295-311.
    • (1989) Neural Comput. , vol.1 , pp. 295-311
    • Barlow, H.B.1
  • 4
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • BELL, A. J., & SEJNOWSKI,T. J., 1995. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7, 1129-59.
    • (1995) Neural Comput. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowskit, J.2
  • 5
    • 0025268180 scopus 로고
    • Hebbian synapses: Biophysical mechanisms and algorithms
    • BROWN, T. H., KAIRISS, E. W., & KEENAN, C. L., 1990. Hebbian synapses: Biophysical mechanisms and algorithms. Ann. Rev. Neurosci., 13, 475-511.
    • (1990) Ann. Rev. Neurosci. , vol.13 , pp. 475-511
    • Brown, T.H.1    Kairiss, E.W.2    Keenan, C.L.3
  • 6
    • 0027552776 scopus 로고
    • Analysis of neural networks with chaotic dynamics
    • CHAPEAU-BLONDEAU, F., 1993. Analysis of neural networks with chaotic dynamics. Chaos, Solitons and Fractals 3, 133-9.
    • (1993) Chaos, Solitons and Fractals , vol.3 , pp. 133-139
    • Chapeau-Blondeau, F.1
  • 7
    • 84955787368 scopus 로고
    • Information entropy maximization in the transmission by a neuron nonlinearity
    • CHAPEAU-BLONDEAU, F., 1994. Information entropy maximization in the transmission by a neuron nonlinearity. Comptes Rendus de l'Acad. Sci. Sér. II, Paris 319, 271-6.
    • (1994) Comptes Rendus de L'Acad. Sci. Sér. II, Paris , vol.319 , pp. 271-276
    • Chapeau-Blondeau, F.1
  • 8
    • 0029321345 scopus 로고
    • Information processing in neural networks by means of controlled dynamic regimes
    • CHAPEAU-BLONDEAU, F., 1995. Information processing in neural networks by means of controlled dynamic regimes. Acta Biotheoretica 43, 155-67.
    • (1995) Acta Biotheoretica , vol.43 , pp. 155-167
    • Chapeau-Blondeau, F.1
  • 9
    • 0026925399 scopus 로고
    • Stable, oscillatory, and chaotic regimes in the dynamics of small neural networks with delay
    • CHAPEAU-BLONDEAU, F., & CHAUVET, G., 1992. Stable, oscillatory, and chaotic regimes in the dynamics of small neural networks with delay. Neural Net. 5, 735-43.
    • (1992) Neural Net. , vol.5 , pp. 735-743
    • Chapeau-Blondeau, F.1    Chauvet, G.2
  • 10
    • 0000418266 scopus 로고
    • Tutorial on neurobiology: From single neurons to brain chaos
    • FREEMAN, W. J., 1992. Tutorial on neurobiology: From single neurons to brain chaos. Int. J. Bifurcat. Chaos 2, 451-82.
    • (1992) Int. J. Bifurcat. Chaos , vol.2 , pp. 451-482
    • Freeman, W.J.1
  • 11
    • 35649001607 scopus 로고
    • A quantitative description of membrane current and its application to conduction and excitation in nerve
    • HODGKIN, A. L., & HUXLEY, A. F., 1952. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117, 500-44.
    • (1952) J. Physiol. , vol.117 , pp. 500-544
    • Hodgkin, A.L.1    Huxley, A.F.2
  • 13
    • 0019620028 scopus 로고
    • A simple coding procedure enhances a neuron's information capacity
    • LAUGHLIN, S., 1981. A simple coding procedure enhances a neuron's information capacity. Z. Naturforsch C 36, 910-12.
    • (1981) Z. Naturforsch C , vol.36 , pp. 910-912
    • Laughlin, S.1
  • 14
    • 0001572172 scopus 로고
    • Form and function in retinal processing
    • LAUGHLIN, S., 1987. Form and function in retinal processing. Trends Neurosci. 10, 478-83.
    • (1987) Trends Neurosci. , vol.10 , pp. 478-483
    • Laughlin, S.1
  • 15
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • LINSKER, R., 1988. Self-organization in a perceptual network. IEEE Comput. 21, 105-17.
    • (1988) IEEE Comput. , vol.21 , pp. 105-117
    • Linsker, R.1
  • 16
    • 0000772267 scopus 로고
    • Nonlinear neurons in the low-noise limit: A factorial code maximizes information transfer
    • NADAL, J. P., & PARGA, N., 1994. Nonlinear neurons in the low-noise limit: A factorial code maximizes information transfer. Network: Comput. Neural Syst. 5, 565-81.
    • (1994) Network: Comput. Neural Syst. , vol.5 , pp. 565-581
    • Nadal, J.P.1    Parga, N.2
  • 17
    • 0027246978 scopus 로고
    • Efficient information transfer and anti-Hebbian neural networks
    • PLUMBLEY, M. D., 1993. Efficient information transfer and anti-Hebbian neural networks. Neural Net. 6, 823-33.
    • (1993) Neural Net. , vol.6 , pp. 823-833
    • Plumbley, M.D.1
  • 18
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • SHANNON, C. E., 1948. A mathematical theory of communication. Bell Syst. Tech. J. 27, 623-56.
    • (1948) Bell Syst. Tech. J. , vol.27 , pp. 623-656
    • Shannon, C.E.1
  • 19
    • 84973949757 scopus 로고
    • How brains make chaos in order to make sense of the world
    • SKARDA, C. A., & FREEMAN, W. J., 1987. How brains make chaos in order to make sense of the world. Behav. Brain Sci. 10, 161-95.
    • (1987) Behav. Brain Sci. , vol.10 , pp. 161-195
    • Skarda, C.A.1    Freeman, W.J.2
  • 22
    • 0026487979 scopus 로고
    • Population coding of visual stimuli by cortical neurons tuned to more than one dimension
    • ZOHARY, E., 1992. Population coding of visual stimuli by cortical neurons tuned to more than one dimension. Biol. Cybernet. 66, 265-72.
    • (1992) Biol. Cybernet. , vol.66 , pp. 265-272
    • Zohary, E.1
  • 23
    • 0024600340 scopus 로고
    • Short-term synaptic plasticity
    • ZUCKER, R. S., 1989. Short-term synaptic plasticity. Ann. Rev. Neurosci. 12, 13-31.
    • (1989) Ann. Rev. Neurosci. , vol.12 , pp. 13-31
    • Zucker, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.