Custom cover image
Custom cover image

Brain Informatics : International Conference, BI 2018, Arlington, TX, USA, December 7–9, 2018, Proceedings / edited by Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, Leon Iasemidis, Tom Mitchell

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Artificial Intelligence ; 11309 | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2018Description: Online-Ressource (XVII, 498 p. 228 illus., 163 illus. in color, online resource)ISBN:
  • 9783030055875
Subject(s): Additional physical formats: 9783030055868 | 9783030055882 | Erscheint auch als: 978-3-030-05586-8 Druck-Ausgabe | Printed edition: 9783030055868 | Printed edition: 9783030055882 DDC classification:
  • 006.3
LOC classification:
  • Q334-342
DOI: DOI: 10.1007/978-3-030-05587-5Online resources: Summary: This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2018, held in Arlington, TX, USA, in December 2018. The 46 revised full papers were carefully reviewed and selected from 53 submissions. The papers are grouped thematically on cognitive and computational foundations of brain science, human information processing systems, brain big data analysis, curation and management, informatics paradigms for brain and mental health research, brain-machine intelligence and brain-inspired computingSummary: Cognitive and computational foundations of brain science -- Human information processing systems -- Brain big data analysis, curation and management -- Informatics paradigms for brain and mental health research -- Brain-machine intelligence and brain-inspired computingPPN: PPN: 1045546585Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
No physical items for this record

Reproduktion. (Springer eBook Collection. Computer Science)

KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT