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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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 |
work_keys_str_mv |
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