Biological and Artificial Computation: From Neuroscience to Technology [electronic resource] : International Work-Conference on Artificial and Natural Neural Networks, IWANN'97 Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings /

This book constitutes the refereed proceedings of the International Work-Conference on Artificial Neural Networks, IWANN'97, held in Lanzarote, Canary Islands, Spain, in June 1997. The volume presents 142 revised full papers selected from an overwhelming wealth of submissions. The volume is divided into sections on biological foundations of neural computation, formal tools and computational models of neurons and neural nets architectures, plasticity phenomena, complex systems dynamics, cognitive science and AI, neural nets simulation, emulation and implementation, methodology for data analysis, task selection and net design, neural networks for perception, and neural networks for communications, control and robotics.

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Bibliographic Details
Main Authors: Mira, José. editor., Moreno-Díaz, Roberto. editor., Cabestany, Joan. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997
Subjects:Computer science., Neurosciences., Computer communication systems., Computers., Artificial intelligence., Animal physiology., Complexity, Computational., Computer Science., Computation by Abstract Devices., Artificial Intelligence (incl. Robotics)., Complexity., Computer Communication Networks., Animal Physiology.,
Online Access:http://dx.doi.org/10.1007/BFb0032457
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Summary:This book constitutes the refereed proceedings of the International Work-Conference on Artificial Neural Networks, IWANN'97, held in Lanzarote, Canary Islands, Spain, in June 1997. The volume presents 142 revised full papers selected from an overwhelming wealth of submissions. The volume is divided into sections on biological foundations of neural computation, formal tools and computational models of neurons and neural nets architectures, plasticity phenomena, complex systems dynamics, cognitive science and AI, neural nets simulation, emulation and implementation, methodology for data analysis, task selection and net design, neural networks for perception, and neural networks for communications, control and robotics.