£74.01

Springer Neural Connectomics Challenge (The Springer Series on Challenges in Machine Learning)

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 May 2017
Listed Since
22 December 2016

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