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Neural Connectomics Challenge

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Javier Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed et al.
    Pages 1-22
  3. Antonio Sutera, Arnaud Joly, Vincent Franois-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst et al.
    Pages 23-36
  4. Ildefons Magrans de Abril, Ann Nowé
    Pages 37-45
  5. Pau Bellot, Patrick E. Meyer
    Pages 85-93
  6. Dmitry Laptev, Joachim M. Buhmann
    Pages 105-115
  7. Back Matter
    Pages 117-117

About this book

Introduction

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.


Keywords

Neuronal networks Effective connectivity Neural imaging Graph-theoretic measures Pattern recognition Network inference Partial correlation Deep learning Connectomes Connectomics Network reconstruction Neural connectomics Causality Time series Machine learning

Editors and affiliations

  • Demian Battaglia
    • 1
  • Isabelle Guyon
    • 2
  • Vincent Lemaire
    • 3
  • Javier Orlandi
    • 4
  • Bisakha Ray
    • 5
  • Jordi Soriano
    • 6
  1. 1.Institute for Systems NeuroscienceUniversity Aix-MarseilleMarseilleFrance
  2. 2.ChaLearnBerkeleyUSA
  3. 3.Orange LabsLannionFrance
  4. 4.FMC DepartmentUniversity of BarcelonaBarcelonaSpain
  5. 5.NYU School of MedicineNew YorkUSA
  6. 6.FMC DepartmentUniversity of BarcelonaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-53070-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-53069-7
  • Online ISBN 978-3-319-53070-3
  • Series Print ISSN 2520-131X
  • Series Online ISSN 2520-1328
  • Buy this book on publisher's site
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