Brain informatics : International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings / Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, Leon Iasemidis, Tom Mitchell (eds.).
Material type:
TextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence. | Lecture notes in computer science ; 11309. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Cham : Springer, 2018Description: 1 online resource (xvii, 498 pages) : illustrations (some color)Content type: - text
- computer
- online resource
- 9783030055875
- 3030055876
- BI 2018
- Neural networks (Computer science) -- Congresses
- Human information processing -- Congresses
- Artificial intelligence -- Medical applications -- Congresses
- Réseaux neuronaux (Informatique) -- Congrès
- Traitement de l'information chez l'être humain -- Congrès
- Intelligence artificielle -- Applications en médecine -- Congrès
- Artificial intelligence -- Medical applications
- Human information processing
- Neural networks (Computer science)
- 006.3/2 23
- QA76.87
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
|
e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed December 18, 2018).
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 computing.
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 computing.