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Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704378/ http://dx.doi.org/10.1186/1471-2202-14-S1-P263 |
| _version_ | 1782275997547102208 |
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| author | Pirino, Virginia Massobrio, Paolo Riccomagno, Eva Martinoia, Sergio |
| author_facet | Pirino, Virginia Massobrio, Paolo Riccomagno, Eva Martinoia, Sergio |
| author_sort | Pirino, Virginia |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-3704378 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2013 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-37043782013-07-12 Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures Pirino, Virginia Massobrio, Paolo Riccomagno, Eva Martinoia, Sergio BMC Neurosci Poster Presentation BioMed Central 2013-07-08 /pmc/articles/PMC3704378/ http://dx.doi.org/10.1186/1471-2202-14-S1-P263 Text en Copyright © 2013 Pirino et al; 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 Pirino, Virginia Massobrio, Paolo Riccomagno, Eva Martinoia, Sergio Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures |
| title | Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures |
| title_full | Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures |
| title_fullStr | Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures |
| title_full_unstemmed | Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures |
| title_short | Binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures |
| title_sort | binary matrices and simplicial complexes: an algebraic-statistics tool to analyze co-activation of electrophysiological signals in cortical cultures |
| topic | Poster Presentation |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704378/ http://dx.doi.org/10.1186/1471-2202-14-S1-P263 |
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