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Neural Connectomics Challenge

Produktform: E-Buch Text Elektronisches Buch in proprietärem

This book illustrates the thrust of the scientific community to use machine learning concepts for tackling a complex problem: given time series of neuronal spontaneous activity, which is the underlying connectivity between the neurons in the network? The contributing authors also develop tools for the advancement of neuroscience through machine learning techniques, with a focus on the major open problems in neuroscience.While the techniques have been developed for a specific application, they address the more general problem of network reconstruction from observational time series, a problem of interest in a wide variety of domains, including econometrics, epidemiology, and climatology, to cite only a few.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-319-53070-3 / 978-3319530703 / 9783319530703

Verlag: Springer International Publishing

Erscheinungsdatum: 04.05.2017

Seiten: 117

Herausgegeben von Isabelle Guyon, Demian Battaglia, Vincent Lemaire, Javier Orlandi, Bisakha Ray, Jordi Soriano

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