Noise shaping by interval correlations increases information transfer

被引:93
作者
Chacron, MJ [1 ]
Lindner, B [1 ]
Longtin, A [1 ]
机构
[1] Univ Ottawa, Dept Phys, Ottawa, ON K1N 6N5, Canada
关键词
D O I
10.1103/PhysRevLett.92.080601
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The influence of intrinsic firing interspike interval correlations on the noise spectrum and information transfer is studied. This is done through the comparison of two simple firing models, one of which is a renewal process while the other displays interval correlations. These correlations are shown to shape the spike train power spectrum and, in particular, to decrease the noise power at low frequencies. Linear response theory and numerical simulations reveal how this shaping can increase the transmission of information about a time-varying signal. Our results are relevant to the analysis of nonrenewal point processes and signal detection in physics and biology.
引用
收藏
页数:4
相关论文
共 31 条
  • [1] Azouz R, 1999, J NEUROSCI, V19, P2209
  • [2] Long-range temporal anti-correlations in paddlefish electroreceptors
    Bahar, S
    Kantelhardt, JW
    Neiman, A
    Rego, HHA
    Russell, DF
    Wilkens, L
    Bunde, A
    Moss, F
    [J]. EUROPHYSICS LETTERS, 2001, 56 (03): : 454 - 460
  • [3] Information theory and neural coding
    Borst, A
    Theunissen, FE
    [J]. NATURE NEUROSCIENCE, 1999, 2 (11) : 947 - 957
  • [4] Effects of mean firing on neural information rate
    Borst, A
    Haag, J
    [J]. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2001, 10 (02) : 213 - 221
  • [5] Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli
    Chacron, MJ
    Longtin, A
    Maler, L
    [J]. JOURNAL OF NEUROSCIENCE, 2001, 21 (14) : 5328 - 5343
  • [6] Suprathreshold stochastic firing dynamics with memory in P-type electroreceptors
    Chacron, MJ
    Longtin, A
    St-Hilaire, M
    Maler, L
    [J]. PHYSICAL REVIEW LETTERS, 2000, 85 (07) : 1576 - 1579
  • [7] Cover T. M., 2005, ELEM INF THEORY, DOI 10.1002/047174882X
  • [8] Cox D., 1966, STAT ANAL SERIES EVE
  • [9] Coding of time-varying signals in spike trains of integrate-and-fire neurons with random threshold
    Gabbiani, F
    Koch, C
    [J]. NEURAL COMPUTATION, 1996, 8 (01) : 44 - 66
  • [10] Stochastic resonance
    Gammaitoni, L
    Hanggi, P
    Jung, P
    Marchesoni, F
    [J]. REVIEWS OF MODERN PHYSICS, 1998, 70 (01) : 223 - 287