Literature DB >> 17525932

A solution to the controversy between rate and temporal coding.

Shigeru Shinomoto1, Shinsuke Koyama.   

Abstract

The apparent irregularity of in vivo spike sequences could be read as being derived either irregularly in time from a constant rate or regularly from a fluctuating rate. We recently proposed the Empirical Bayes method that selects one out of the alternative interpretations (J. Phys. A: Math. Gen. 2005; 38:L531-L537). In this paper, we demonstrate that this method may also give a solution to the controversy between rate and temporal coding. For a given single sequence of spikes, the method may indicate two potential hypothetical rate processes, nearly constant and highly fluctuating, and selects one according to the statistical plausibility. As the rate fluctuation of a spike sequence is increased, the Bayesian interpretation exhibits a discontinuous transition from one to the other. In this way, a sequence of spikes can be distinctly categorized as either rate or temporal coding, according to the estimated degree of rate fluctuation. 2007 John Wiley & Sons, Ltd

Mesh:

Year:  2007        PMID: 17525932     DOI: 10.1002/sim.2932

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Feature extraction from spike trains with Bayesian binning: 'latency is where the signal starts'.

Authors:  Dominik Endres; Mike Oram
Journal:  J Comput Neurosci       Date:  2009-05-16       Impact factor: 1.621

2.  Kernel bandwidth optimization in spike rate estimation.

Authors:  Hideaki Shimazaki; Shigeru Shinomoto
Journal:  J Comput Neurosci       Date:  2009-08-05       Impact factor: 1.621

3.  Neural Representation. A Survey-Based Analysis of the Notion.

Authors:  Oscar Vilarroya
Journal:  Front Psychol       Date:  2017-08-29
  3 in total

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