Literature DB >> 3435837

Time structure and stimulus dependence of precisely replicating patterns present in monkey cortical neuronal spike trains.

R Lestienne1, B L Strehler.   

Abstract

Evidence is presented on the parameters that affect the occurrence of precisely replicating patterns of neural discharge present as 'hidden' patterns in individual neuronal discharge trains of the visual cortical cells of the rhesus monkey in response to precisely controlled stimuli described in our previous publication. Using the All-Interval analytical paradigm we demonstrate: (1) that precisely replicating patterns are present in numbers that cannot be generated through continuous, smoothly varying probability distributions of interspike intervals; (2) that the records contain very large numbers of precisely replicating patterns--doublets, triplets, quadruplets, quintuplets and hextuplets of pulses; (3) that triplet-antitriplet pairs and symmetrical quadruplets are also present in improbable numbers; (4) that different stimuli generate different triplets; (5) and that the first order decay constant of capacity to generate specific precise patterns is a direct function of the number of events making up the patterns and thus that a temporary memory of the occurrence of a pattern exists following the presentation of a stimulus. It is concluded that such patterns of pulses are almost certainly coded symbols related to visual information; that such symbols are sufficiently precise in their replication to permit them to be decoded through spatial summation mechanisms and finally that the ability to generate and the capacity to store such symbols are probably present in the brain as related and coordinated complexes of specific facilitated synapses. Some properties of a proposed model for the production and decoding of such patterns are presented and discussed as are specific mechanisms through which neural networks may implement such functions. Finally, existing and further experimental tests of the mechanisms proposed are outlined.

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Year:  1987        PMID: 3435837     DOI: 10.1016/0006-8993(87)91638-6

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  10 in total

Review 1.  The temporal resolution of neural codes: does response latency have a unique role?

Authors:  M W Oram; D Xiao; B Dritschel; K R Payne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

2.  Precise spatiotemporal patterns among visual cortical areas and their relation to visual stimulus processing.

Authors:  Inbal Ayzenshtat; Elhanan Meirovithz; Hadar Edelman; Uri Werner-Reiss; Elie Bienenstock; Moshe Abeles; Hamutal Slovin
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

3.  Precise rhythmicity in activity of neocortical, thalamic and brain stem neurons in behaving cats and rabbits.

Authors:  Witali L Dunin-Barkowski; Mikhail G Sirota; Andrew T Lovering; John M Orem; Edward H Vidruk; Irina N Beloozerova
Journal:  Behav Brain Res       Date:  2006-09-07       Impact factor: 3.332

4.  Information theory in neuroscience.

Authors:  Alexander G Dimitrov; Aurel A Lazar; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2011-02       Impact factor: 1.621

5.  Temporal correlations in modulated evoked responses in the visual cortical cells of the cat.

Authors:  R Lestienne; E Gary-Bobo; J Przybyslawski; P Saillour; M Imbert
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

6.  Differences between monkey visual cortex cells in triplet and ghost doublet informational symbols relationships.

Authors:  R Lestienne; B L Strehler
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

7.  Determination of the precision of spike timing in the visual cortex of anaesthetised cats.

Authors:  R Lestienne
Journal:  Biol Cybern       Date:  1996-01       Impact factor: 2.086

Review 8.  Stochasticity, spikes and decoding: sufficiency and utility of order statistics.

Authors:  Barry J Richmond
Journal:  Biol Cybern       Date:  2009-06-11       Impact factor: 2.086

9.  Non-additive coupling enables propagation of synchronous spiking activity in purely random networks.

Authors:  Raoul-Martin Memmesheimer; Marc Timme
Journal:  PLoS Comput Biol       Date:  2012-04-19       Impact factor: 4.475

10.  Quantitative assessment of the log-log-step method for pattern detection in noise-prone environments.

Authors:  Florian Gomez; Ruedi Stoop
Journal:  PLoS One       Date:  2011-12-12       Impact factor: 3.240

  10 in total

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