Neural Connectomics Challenge
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…
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Produktdetails
Weitere Autoren: Orlandi, Javier (Hrsg.) / Soriano, Jordi (Hrsg.) / Battaglia, Demian (Hrsg.) / Ray, Bisakha (Hrsg.) / Lemaire, Vincent (Hrsg.)
- ISBN: 978-3-319-53070-3
- EAN: 9783319530703
- Produktnummer: 22931684
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Plattform: PDF
- Masse: 4'073 KB
13 weitere Werke von Isabelle (Hrsg.) Guyon:
Explainable and Interpretable Models in Computer Vision and Machine Learning
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