Neural Connectomics Challenge

Автор: Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Javier Orlandi, Bisakha Ray, Jordi Soriano

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Налично при издателя, по поръчка

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This book illustrates the thrust of the scientific community to use machine learning concepts for ta...

Информация за книгата

Автор

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

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2017

страници

117

EAN

9783319530697

ISBN

3319530690

Enbook ID

15699898

Издател

Springer International Publishing AG

Теглоt

350

Размери

243 x 162 x 16

Пълно описание

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.

The book is designed for the mathematics, physics and computer science communities that carry out research in neuroscience problems. The content is also suitable for the machine learning community because it exemplifies how to approach the same problem from different perspectives.

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Neural Connectomics Challenge

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Пълно описание

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