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Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang



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Titolo: Advances in Brain Inspired Cognitive Systems [[electronic resource] ] : 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings / / edited by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XIII, 368 p. 159 illus.)
Disciplina: 153
Soggetto topico: Artificial intelligence
Application software
Pattern recognition
Information storage and retrieval
Computers
Algorithms
Artificial Intelligence
Information Systems Applications (incl. Internet)
Pattern Recognition
Information Storage and Retrieval
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Persona (resp. second.): LiuCheng-Lin
HussainAmir
LuoBin
TanKay Chen
ZengYi
ZhangZhaoxiang
Note generali: Includes index.
Nota di contenuto: Brain inspired cognitive systems.-Biologically inspired systems.-Cognitive neuroscience -- Models consciousness -- Neural computation.
Sommario/riassunto: This book constitutes the refereed proceedings of the 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, held in Beijing, China, in November 2016. The 32 full papers presented were carefully reviewed and selected from 43 submissions. They discuss the emerging areas and challenges, present the state of the art of brain-inspired cognitive systems research and applications in diverse fields by covering many topics in brain inspired cognitive systems related research including biologically inspired systems, cognitive neuroscience, models consciousness, and neural computation.
Titolo autorizzato: Advances in Brain Inspired Cognitive Systems  Visualizza cluster
ISBN: 3-319-49685-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465520803316
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Serie: Lecture Notes in Artificial Intelligence ; ; 10023