Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

Single-neuron models are useful not only for studying the emergent properties of neural circuits in large-scale simulations, but also for extracting and summarizing in a principled way the information contained in electrophysiological recordings. Here we demonstrate that, using a convex optimization...

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Detalles Bibliográficos
Autores principales: Pozzorini, Christian, Mensi, Skander, Hagens, Olivier, Naud, Richard, Koch, Christof, Gerstner, Wulfram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470831/
https://www.ncbi.nlm.nih.gov/pubmed/26083597
http://dx.doi.org/10.1371/journal.pcbi.1004275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470831/
https://www.ncbi.nlm.nih.gov/pubmed/26083597
http://dx.doi.org/10.1371/journal.pcbi.1004275

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