Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12339)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: BrainComp 2019.
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Table of contents (11 papers)
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Front Matter
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Machine Learning and Deep Learning Approaches in Human Brain Mapping
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Front Matter
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Brain Modelling and Simulation
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Front Matter
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Exascale Compute and Data Infrastructures for Neuroscience and Applications
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Front Matter
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Exascale Artificial and Natural Neural Architectures
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Front Matter
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Back Matter
Other volumes
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Brain-Inspired Computing
Keywords
About this book
This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019.
The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.
Editors and Affiliations
Bibliographic Information
Book Title: Brain-Inspired Computing
Book Subtitle: 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers
Editors: Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-82427-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2021
Softcover ISBN: 978-3-030-82426-6Published: 21 July 2021
eBook ISBN: 978-3-030-82427-3Published: 20 July 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 159
Number of Illustrations: 16 b/w illustrations, 32 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Systems Organization and Communication Networks