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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence [[electronic resource] ] : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I / / edited by Jose Mira, Alberto Prieto



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Titolo: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence [[electronic resource] ] : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I / / edited by Jose Mira, Alberto Prieto Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Edizione: 1st ed. 2001.
Descrizione fisica: 1 online resource (XXVIII, 840 p.)
Disciplina: 573.8
Soggetto topico: Artificial intelligence
Computers
Algorithms
Neurosciences
Neurology 
Bioinformatics 
Computational biology 
Artificial Intelligence
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Neurology
Computer Appl. in Life Sciences
Persona (resp. second.): MiraJose
PrietoAlberto
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and indexes.
Nota di contenuto: Foundations of Connectionism and Biophysical Models of Neurons -- Structural and Functional Models of Neurons -- Learning and Other Plasticity Phenomena, and Complex Systems Dynamics -- Artificial Intelligence and Cognitive Processes.
Sommario/riassunto: Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.
Titolo autorizzato: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence  Visualizza cluster
ISBN: 3-540-45720-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910143596203321
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Serie: Lecture Notes in Computer Science, . 0302-9743 ; ; 2084