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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| 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 |