Literature DB >> 11387046

Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex.

R Van Rullen1, S J Thorpe.   

Abstract

It is often supposed that the messages sent to the visual cortex by the retinal ganglion cells are encoded by the mean firing rates observed on spike trains generated with a Poisson process. Using an information transmission approach, we evaluate the performances of two such codes, one based on the spike count and the other on the mean interspike interval, and compare the results with a rank order code, where the first ganglion cells to emit a spike are given a maximal weight. Our results show that the rate codes are far from optimal for fast information transmission and that the temporal structure of the spike train can be efficiently used to maximize the information transfer rate under conditions where each cell needs to fire only one spike.

Mesh:

Year:  2001        PMID: 11387046     DOI: 10.1162/08997660152002852

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  83 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.  Decoding temporal information through slow lateral excitation in the olfactory system of insects.

Authors:  Thomas Nowotny; Mikhail I Rabinovich; Ramón Huerta; Henry D I Abarbanel
Journal:  J Comput Neurosci       Date:  2003 Sep-Oct       Impact factor: 1.621

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.  Temporal characteristics of the predictive synchronous firing modeled by spike-timing-dependent plasticity.

Authors:  Katsunori Kitano; Tomoki Fukai
Journal:  Learn Mem       Date:  2004 May-Jun       Impact factor: 2.460

5.  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

6.  Neural coding properties based on spike timing and pattern correlation of retinal ganglion cells.

Authors:  Han-Yan Gong; Ying-Ying Zhang; Pei-Ji Liang; Pu-Ming Zhang
Journal:  Cogn Neurodyn       Date:  2010-06-29       Impact factor: 5.082

7.  A discrete time neural network model with spiking neurons: II: dynamics with noise.

Authors:  B Cessac
Journal:  J Math Biol       Date:  2010-07-24       Impact factor: 2.259

8.  Encoding stimulus information by spike numbers and mean response time in primary auditory cortex.

Authors:  Israel Nelken; Gal Chechik; Thomas D Mrsic-Flogel; Andrew J King; Jan W H Schnupp
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

Review 9.  Neural systems engineering.

Authors:  Steve Furber; Steve Temple
Journal:  J R Soc Interface       Date:  2007-04-22       Impact factor: 4.118

10.  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

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