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Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124976/ http://dx.doi.org/10.1186/1471-2202-15-S1-P102 |
_version_ | 1782329702193561600 |
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author | Sandler, Roman Song, Dong Hampson, Robert E Deadwyler, Sam A Berger, Theodore Marmarelis, Vasilis |
author_facet | Sandler, Roman Song, Dong Hampson, Robert E Deadwyler, Sam A Berger, Theodore Marmarelis, Vasilis |
author_sort | Sandler, Roman |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-4124976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41249762014-08-14 Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs Sandler, Roman Song, Dong Hampson, Robert E Deadwyler, Sam A Berger, Theodore Marmarelis, Vasilis BMC Neurosci Poster Presentation BioMed Central 2014-07-21 /pmc/articles/PMC4124976/ http://dx.doi.org/10.1186/1471-2202-15-S1-P102 Text en Copyright © 2014 Sandler et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Poster Presentation Sandler, Roman Song, Dong Hampson, Robert E Deadwyler, Sam A Berger, Theodore Marmarelis, Vasilis Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs |
title | Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs |
title_full | Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs |
title_fullStr | Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs |
title_full_unstemmed | Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs |
title_short | Probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs |
title_sort | probability-based nonlinear modeling of neural dynamical systems with point-process inputs and outputs |
topic | Poster Presentation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124976/ http://dx.doi.org/10.1186/1471-2202-15-S1-P102 |
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