Bursts generate a non-reducible spike-pattern code

On the single-neuron level, precisely timed spikes can either constitute firing-rate codes or spike-pattern codes that utilize the relative timing between consecutive spikes. There has been little experimental support for the hypothesis that such temporal patterns contribute substantially to informa...

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Main Authors: Hugo G Eyherabide, Ariel Rokem, Andreas V. M Herz, Inés Samengo
Format: Article
Language:English
Published: Frontiers Media S.A. 2009-05-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/neuro.01.002.2009/full
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spelling doaj-72641f7382ac4116a04e8a7f1c217f7b2020-11-24T22:40:26ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2009-05-01310.3389/neuro.01.002.2009490Bursts generate a non-reducible spike-pattern codeHugo G Eyherabide0Hugo G Eyherabide1Ariel Rokem2Ariel Rokem3Andreas V. M Herz4Andreas V. M Herz5Inés Samengo6Inés Samengo7Centro Atómico Bariloche and Instituto BalseiroHumboldt UniversitätHumboldt UniversitätUniversity of CaliforniaBernstein Center for Computational Neuroscience Munich and Division of Neurobiology,Department of Biology, Ludwig-Maximilians UniversitätHumboldt UniversitätCentro Atómico Bariloche and Instituto BalseiroHumboldt UniversitätOn the single-neuron level, precisely timed spikes can either constitute firing-rate codes or spike-pattern codes that utilize the relative timing between consecutive spikes. There has been little experimental support for the hypothesis that such temporal patterns contribute substantially to information transmission. Using grasshopper auditory receptors as a model system, we show that correlations between spikes can be used to represent behaviorally relevant stimuli. The correlations reflect the inner structure of the spike train: a succession of burst-like patterns. We demonstrate that bursts with different spike counts encode different stimulus features, such that about 20% of the transmitted information corresponds to discriminating between different features, and the remaining 80% is used to allocate these features in time. In this spike-pattern code, the "what" and the "when" of the stimuli are encoded in the duration of each burst and the time of burst onset, respectively. Given the ubiquity of burst firing, we expect similar findings also for other neural systems.http://journal.frontiersin.org/Journal/10.3389/neuro.01.002.2009/fullauditory receptorburst spikingInformation TheoryNeural Codesensory encoding
collection DOAJ
language English
format Article
sources DOAJ
author Hugo G Eyherabide
Hugo G Eyherabide
Ariel Rokem
Ariel Rokem
Andreas V. M Herz
Andreas V. M Herz
Inés Samengo
Inés Samengo
spellingShingle Hugo G Eyherabide
Hugo G Eyherabide
Ariel Rokem
Ariel Rokem
Andreas V. M Herz
Andreas V. M Herz
Inés Samengo
Inés Samengo
Bursts generate a non-reducible spike-pattern code
Frontiers in Neuroscience
auditory receptor
burst spiking
Information Theory
Neural Code
sensory encoding
author_facet Hugo G Eyherabide
Hugo G Eyherabide
Ariel Rokem
Ariel Rokem
Andreas V. M Herz
Andreas V. M Herz
Inés Samengo
Inés Samengo
author_sort Hugo G Eyherabide
title Bursts generate a non-reducible spike-pattern code
title_short Bursts generate a non-reducible spike-pattern code
title_full Bursts generate a non-reducible spike-pattern code
title_fullStr Bursts generate a non-reducible spike-pattern code
title_full_unstemmed Bursts generate a non-reducible spike-pattern code
title_sort bursts generate a non-reducible spike-pattern code
publisher Frontiers Media S.A.
series Frontiers in Neuroscience
issn 1662-453X
publishDate 2009-05-01
description On the single-neuron level, precisely timed spikes can either constitute firing-rate codes or spike-pattern codes that utilize the relative timing between consecutive spikes. There has been little experimental support for the hypothesis that such temporal patterns contribute substantially to information transmission. Using grasshopper auditory receptors as a model system, we show that correlations between spikes can be used to represent behaviorally relevant stimuli. The correlations reflect the inner structure of the spike train: a succession of burst-like patterns. We demonstrate that bursts with different spike counts encode different stimulus features, such that about 20% of the transmitted information corresponds to discriminating between different features, and the remaining 80% is used to allocate these features in time. In this spike-pattern code, the "what" and the "when" of the stimuli are encoded in the duration of each burst and the time of burst onset, respectively. Given the ubiquity of burst firing, we expect similar findings also for other neural systems.
topic auditory receptor
burst spiking
Information Theory
Neural Code
sensory encoding
url http://journal.frontiersin.org/Journal/10.3389/neuro.01.002.2009/full
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