Model based decoding of spike trains

被引：9
|
作者：
Wiener, MC [1 ]
Richmond, BJ [1 ]
机构：
[1] NIMH, Neuropsychol Lab, NIH, Bethesda, MD 20892 USA
来源：
BIOSYSTEMS | 2002年 / 67卷 / 1-3期
关键词：
Vl; vision; coding;
D O I：
10.1016/S0303-2647(02)00087-4
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Reliably decoding neuronal responses requires knowing what aspects of neuronal responses are stimulus related, and which aspects act as noise. Recent work shows that spike trains can be viewed as stochastic samples from the rate variation function, as estimated by the time dependent spike density function (or normalized peristimulus time histogram). Such spike trains are exactly described by order statistics, and can be decoded millisecond-by-millisecond by iterative application of order statistics. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.
引用
收藏
页码：295 / 300
页数：6
相关论文
共 50 条
  • [1] A hidden Markov model for decoding and the analysis of replay in spike trains
    Marc Box
    Matt W. Jones
    Nick Whiteley
    Journal of Computational Neuroscience, 2016, 41 : 339 - 366
  • [2] A hidden Markov model for decoding and the analysis of replay in spike trains
    Box, Marc
    Jones, Matt W.
    Whiteley, Nick
    JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2016, 41 (03) : 339 - 366
  • [3] Decoding of intracellular calcium spike trains
    Prank, K
    Laer, L
    von zur Muhlen, A
    Brabant, G
    Schofl, C
    EUROPHYSICS LETTERS, 1998, 42 (02): : 143 - 147
  • [4] Bayesian decoding of neural spike trains
    Koyama, Shinsuke
    Eden, Uri T.
    Brown, Emery N.
    Kass, Robert E.
    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2010, 62 (01) : 37 - 59
  • [5] Bayesian decoding of neural spike trains
    Shinsuke Koyama
    Uri T. Eden
    Emery N. Brown
    Robert E. Kass
    Annals of the Institute of Statistical Mathematics, 2010, 62 : 37 - 59
  • [6] Decoding spike trains of model neurons: Role of nonlinearity and feedback.
    Machens, CK
    Stemmler, MB
    Herz, AVM
    EUROPEAN JOURNAL OF NEUROSCIENCE, 1998, 10 : 404 - 404
  • [7] Decoding Poisson Spike Trains by Gaussian Filtering
    Lehky, Sidney R.
    NEURAL COMPUTATION, 2010, 22 (05) : 1245 - 1271
  • [8] Reading spike timing without a clock: intrinsic decoding of spike trains
    Panzeri, Stefano
    Ince, Robin A. A.
    Diamond, Mathew E.
    Kayser, Christoph
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2014, 369 (1637)
  • [9] Maximum entropy decoding of multivariate neural spike trains
    Hélène Seiler
    Yang Zhang
    Aman B Saleem
    Phil Bream
    John Apergis-Schoute
    Simon R Schultz
    BMC Neuroscience, 10 (Suppl 1)
  • [10] Decoding neuronal spike trains: How important are correlations?
    Nirenberg, S
    Latham, PE
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (12) : 7348 - 7353
12345