Literature DB >> 9886632

Rate coding versus temporal order coding: a theoretical approach.

J Gautrais1, S Thorpe.   

Abstract

The belief that neurones transmit information in the form of a firing rate code is almost universal. However, we argue that at least in some situations, the efficiency of a coding strategy based on rate coding is surprisingly poor. A simple mathematical analysis reveals that, due to the stochastic nature of spike generation, even transmitting the simplest signals reliably would require either: (1) excessively long observation periods incompatible with the speed of sensory processing or (2) excessively large numbers of redundant neurones, incompatible with the anatomical constraints imposed by sensory pathways. We argue that such problems may be avoided by using alternative temporal codes which rely on the asynchrony of firing across a population of afferent neurones.

Mesh:

Year:  1998        PMID: 9886632     DOI: 10.1016/s0303-2647(98)00050-1

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  34 in total

1.  Fast propagation of firing rates through layered networks of noisy neurons.

Authors:  Mark C W van Rossum; Gina G Turrigiano; Sacha B Nelson
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

2.  The timing of response onset and offset in macaque visual neurons.

Authors:  Wyeth Bair; James R Cavanaugh; Matthew A Smith; J Anthony Movshon
Journal:  J Neurosci       Date:  2002-04-15       Impact factor: 6.167

3.  Continuous detection of weak sensory signals in afferent spike trains: the role of anti-correlated interspike intervals in detection performance.

Authors:  J B M Goense; R Ratnam
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-08-14       Impact factor: 1.836

4.  Early cortical orientation selectivity: how fast inhibition decodes the order of spike latencies.

Authors:  A Delorme
Journal:  J Comput Neurosci       Date:  2003 Nov-Dec       Impact factor: 1.621

5.  Running as fast as it can: how spiking dynamics form object groupings in the laminar circuits of visual cortex.

Authors:  Jasmin Léveillé; Massimiliano Versace; Stephen Grossberg
Journal:  J Comput Neurosci       Date:  2010-01-29       Impact factor: 1.621

6.  Using an Hebbian learning rule for multi-class SVM classifiers.

Authors:  Thierry Viéville; Sylvie Crahay
Journal:  J Comput Neurosci       Date:  2004 Nov-Dec       Impact factor: 1.621

7.  Decoding stimulus variance from a distributional neural code of interspike intervals.

Authors:  Brian Nils Lundstrom; Adrienne L Fairhall
Journal:  J Neurosci       Date:  2006-08-30       Impact factor: 6.167

8.  First-spike latency information in single neurons increases when referenced to population onset.

Authors:  Steven M Chase; Eric D Young
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-09       Impact factor: 11.205

9.  Spike synchronization of chaotic oscillators as a phase transition.

Authors:  M Ciszak; A Montina; F T Arecchi
Journal:  Cogn Process       Date:  2008-10-21

10.  Throwing a glance at the neural code: rapid information transmission in the visual system.

Authors:  Tim Gollisch
Journal:  HFSP J       Date:  2008-12-03
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