Understanding the Brain Function and Emotions | 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3-7, 2019, Proceedings, Part I

José Manuel Ferrández Vicente (u. a.)

ISBN 10: 3030195902 / ISBN 13: 9783030195908

Published by Springer, 2019

About this Item

Understanding the Brain Function and Emotions | 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3-7, 2019, Proceedings, Part I | José Manuel Ferrández Vicente (u. a.) | Taschenbuch | xxiii | Englisch | 2019 | Springer | EAN 9783030195908 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 116119291

Bibliographic Details

• Title: Understanding the Brain Function and Emotions | 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3-7, 2019, Proceedings, Part I
• Publisher: Springer
• Publication Date: 2019
• Language: English
• ISBN 10: 3030195902
• ISBN 13: 9783030195908
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 25D millimeters 235 millimeters width by 155 millimeters height by 25 millimeters depth
• Weight: 692 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions  to engineering problems in different applications domains, as biomedical systems, or big data solutions.