A second-order maximum entropy model predicts correlated network states, but not their evolution over time

Detalles Bibliográficos
Autores principales: Tang, Aonan, Hobbs, Jon, Chen, Wei, Jackson, David, Smith, Jodi L, Patel, Hema, Beggs, John M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Poster Presentation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436273/
http://dx.doi.org/10.1186/1471-2202-8-S2-P32
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author Tang, Aonan
Hobbs, Jon
Chen, Wei
Jackson, David
Smith, Jodi L
Patel, Hema
Beggs, John M
author_facet Tang, Aonan
Hobbs, Jon
Chen, Wei
Jackson, David
Smith, Jodi L
Patel, Hema
Beggs, John M
author_sort Tang, Aonan
collection PubMed
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spelling pubmed-44362732015-06-29 A second-order maximum entropy model predicts correlated network states, but not their evolution over time Tang, Aonan Hobbs, Jon Chen, Wei Jackson, David Smith, Jodi L Patel, Hema Beggs, John M BMC Neurosci Poster Presentation BioMed Central 2007-07-06 /pmc/articles/PMC4436273/ http://dx.doi.org/10.1186/1471-2202-8-S2-P32 Text en Copyright © 2007 Tang et al; licensee BioMed Central Ltd.
spellingShingle Poster Presentation
Tang, Aonan
Hobbs, Jon
Chen, Wei
Jackson, David
Smith, Jodi L
Patel, Hema
Beggs, John M
A second-order maximum entropy model predicts correlated network states, but not their evolution over time
title A second-order maximum entropy model predicts correlated network states, but not their evolution over time
title_full A second-order maximum entropy model predicts correlated network states, but not their evolution over time
title_fullStr A second-order maximum entropy model predicts correlated network states, but not their evolution over time
title_full_unstemmed A second-order maximum entropy model predicts correlated network states, but not their evolution over time
title_short A second-order maximum entropy model predicts correlated network states, but not their evolution over time
title_sort second-order maximum entropy model predicts correlated network states, but not their evolution over time
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436273/
http://dx.doi.org/10.1186/1471-2202-8-S2-P32
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