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Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis

Detalles Bibliográficos
Autores principales: Deniz, Taşkın, Rotter, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704707/
http://dx.doi.org/10.1186/1471-2202-14-S1-P332
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author Deniz, Taşkın
Rotter, Stefan
author_facet Deniz, Taşkın
Rotter, Stefan
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spelling pubmed-37047072013-07-12 Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis Deniz, Taşkın Rotter, Stefan BMC Neurosci Poster Presentation BioMed Central 2013-07-08 /pmc/articles/PMC3704707/ http://dx.doi.org/10.1186/1471-2202-14-S1-P332 Text en Copyright © 2013 Deniz and Rotter; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Presentation
Deniz, Taşkın
Rotter, Stefan
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
title Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
title_full Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
title_fullStr Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
title_full_unstemmed Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
title_short Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
title_sort going beyond poisson processes: a new statistical framework in neuronal modeling and data analysis
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704707/
http://dx.doi.org/10.1186/1471-2202-14-S1-P332
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