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Volumn , Issue , 2009, Pages 1456-1461

Rules for information maximization in spiking neurons using intrinsic plasticity

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL THEORIES; CORTICAL NEURONS; INFORMATION MAXIMIZATION; INTRINSIC PLASTICITY; LEARNING RULES; OUTPUT DISTRIBUTION; SENSORY INFORMATION; SPIKING NEURON; SPIKING NEURON MODELS; THEORETICAL RESULT;

EID: 70449395911     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178625     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 1
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    • (1998) Proc. R. Soc. London, Ser. B , vol.264 , pp. 1775-1783
    • Baddeley, R.1    Abbott, L.F.2    Booth, M.3    Sengpiel, F.4    Freeman, T.5
  • 2
    • 0033363928 scopus 로고    scopus 로고
    • How voltage-dependent conductances can adapt to maximize the information encoded by neuronal firing rate
    • M. Stemmler and C. Koch. How voltage-dependent conductances can adapt to maximize the information encoded by neuronal firing rate.Nature Neuroscience, 2 (6) :521-527, 1999.
    • (1999) Nature Neuroscience , vol.2 , Issue.6 , pp. 521-527
    • Stemmler, M.1    Koch, C.2
  • 3
    • 34247243264 scopus 로고    scopus 로고
    • Synergies between intrinsic and synaptic plasticity mechanisms
    • J. Triesch. Synergies between intrinsic and synaptic plasticity mechanisms.Neural Computation, 19:885-909, 2007.
    • (2007) Neural Computation , vol.19 , pp. 885-909
    • Triesch, J.1
  • 4
    • 42349085463 scopus 로고    scopus 로고
    • Plasticity of intrinsic neuronal properties in CNS disorders
    • H. Beck and Y. Yaari. Plasticity of intrinsic neuronal properties in CNS disorders.Nat. Rev. Neurosc, 9:357-369, 2008.
    • (2008) Nat. Rev. Neurosc , vol.9 , pp. 357-369
    • Beck, H.1    Yaari, Y.2
  • 5
    • 17044416469 scopus 로고    scopus 로고
    • Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission
    • T. Toyoizumi, J.-R Pfister, K. Aihara, and W. Gerstner. Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission.Proc. Natl. Acad. Sci., 102:5239-5244, 2005.
    • (2005) Proc. Natl. Acad. Sci , vol.102 , pp. 5239-5244
    • Toyoizumi, T.1    Pfister, J.-R.2    Aihara, K.3    Gerstner, W.4
  • 6
    • 70449343324 scopus 로고    scopus 로고
    • Spiking neurons can learn to solve the information bottleneck problems and to extract independent components
    • in press
    • S. Klampfl, R. Legenstein, and W. Maass. Spiking neurons can learn to solve the information bottleneck problems and to extract independent components.Neural Computation, in press, 2007.
    • (2007) Neural Computation
    • Klampfl, S.1    Legenstein, R.2    Maass, W.3
  • 7
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind convolution
    • A. J. Bell and T. J. Sejnowski. An information maximization approach to blind separation and blind convolution.Neural Computation, 7:1129- 1159, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 8
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    • The other side of the engram: Experience driven changes in neuronal intrinsic excitability
    • W. Zhang and D. J. Linden. The other side of the engram: experience driven changes in neuronal intrinsic excitability.Nat. Rev. Neurosc., 4:885-900, 2003.
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    • Zhang, W.1    Linden, D.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.