Cargando…

Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics

The response of a neuron to repeated somatic fluctuating current injections in vitro can elicit a reliable and precisely timed sequence of action potentials. The set of responses obtained across trials can also be interpreted as the response of an ensemble of similar neurons receiving the same input...

Descripción completa

Detalles Bibliográficos
Autores principales: Toups, J. Vincent, Fellous, Jean-Marc, Thomas, Peter J., Sejnowski, Terrence J., Tiesinga, Paul H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475656/
https://www.ncbi.nlm.nih.gov/pubmed/23093916
http://dx.doi.org/10.1371/journal.pcbi.1002615
_version_ 1782246972642557952
author Toups, J. Vincent
Fellous, Jean-Marc
Thomas, Peter J.
Sejnowski, Terrence J.
Tiesinga, Paul H.
author_facet Toups, J. Vincent
Fellous, Jean-Marc
Thomas, Peter J.
Sejnowski, Terrence J.
Tiesinga, Paul H.
author_sort Toups, J. Vincent
collection PubMed
description The response of a neuron to repeated somatic fluctuating current injections in vitro can elicit a reliable and precisely timed sequence of action potentials. The set of responses obtained across trials can also be interpreted as the response of an ensemble of similar neurons receiving the same input, with the precise spike times representing synchronous volleys that would be effective in driving postsynaptic neurons. To study the reproducibility of the output spike times for different conditions that might occur in vivo, we somatically injected aperiodic current waveforms into cortical neurons in vitro and systematically varied the amplitude and DC offset of the fluctuations. As the amplitude of the fluctuations was increased, reliability increased and the spike times remained stable over a wide range of values. However, at specific values called bifurcation points, large shifts in the spike times were obtained in response to small changes in the stimulus, resulting in multiple spike patterns that were revealed using an unsupervised classification method. Increasing the DC offset, which mimicked an overall increase in network background activity, also revealed bifurcation points and increased the reliability. Furthermore, the spike times shifted earlier with increasing offset. Although the reliability was reduced at bifurcation points, a theoretical analysis showed that the information about the stimulus time course was increased because each of the spike time patterns contained different information about the input.
format Online
Article
Text
id pubmed-3475656
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-34756562012-10-23 Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics Toups, J. Vincent Fellous, Jean-Marc Thomas, Peter J. Sejnowski, Terrence J. Tiesinga, Paul H. PLoS Comput Biol Research Article The response of a neuron to repeated somatic fluctuating current injections in vitro can elicit a reliable and precisely timed sequence of action potentials. The set of responses obtained across trials can also be interpreted as the response of an ensemble of similar neurons receiving the same input, with the precise spike times representing synchronous volleys that would be effective in driving postsynaptic neurons. To study the reproducibility of the output spike times for different conditions that might occur in vivo, we somatically injected aperiodic current waveforms into cortical neurons in vitro and systematically varied the amplitude and DC offset of the fluctuations. As the amplitude of the fluctuations was increased, reliability increased and the spike times remained stable over a wide range of values. However, at specific values called bifurcation points, large shifts in the spike times were obtained in response to small changes in the stimulus, resulting in multiple spike patterns that were revealed using an unsupervised classification method. Increasing the DC offset, which mimicked an overall increase in network background activity, also revealed bifurcation points and increased the reliability. Furthermore, the spike times shifted earlier with increasing offset. Although the reliability was reduced at bifurcation points, a theoretical analysis showed that the information about the stimulus time course was increased because each of the spike time patterns contained different information about the input. Public Library of Science 2012-10-18 /pmc/articles/PMC3475656/ /pubmed/23093916 http://dx.doi.org/10.1371/journal.pcbi.1002615 Text en © 2012 Toups et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Toups, J. Vincent
Fellous, Jean-Marc
Thomas, Peter J.
Sejnowski, Terrence J.
Tiesinga, Paul H.
Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics
title Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics
title_full Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics
title_fullStr Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics
title_full_unstemmed Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics
title_short Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics
title_sort multiple spike time patterns occur at bifurcation points of membrane potential dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475656/
https://www.ncbi.nlm.nih.gov/pubmed/23093916
http://dx.doi.org/10.1371/journal.pcbi.1002615
work_keys_str_mv AT toupsjvincent multiplespiketimepatternsoccuratbifurcationpointsofmembranepotentialdynamics
AT fellousjeanmarc multiplespiketimepatternsoccuratbifurcationpointsofmembranepotentialdynamics
AT thomaspeterj multiplespiketimepatternsoccuratbifurcationpointsofmembranepotentialdynamics
AT sejnowskiterrencej multiplespiketimepatternsoccuratbifurcationpointsofmembranepotentialdynamics
AT tiesingapaulh multiplespiketimepatternsoccuratbifurcationpointsofmembranepotentialdynamics