04924nam 22008295 450 991014359620332120200706110933.03-540-45720-810.1007/3-540-45720-8(CKB)1000000000211494(SSID)ssj0000322263(PQKBManifestationID)11213939(PQKBTitleCode)TC0000322263(PQKBWorkID)10282312(PQKB)11300641(DE-He213)978-3-540-45720-6(MiAaPQ)EBC3072060(PPN)155225103(EXLCZ)99100000000021149420121227d2001 u| 0engurnn#008mamaatxtccrConnectionist 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 Prieto1st ed. 2001.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2001.1 online resource (XXVIII, 840 p.)Lecture Notes in Computer Science,0302-9743 ;2084Bibliographic Level Mode of Issuance: Monograph3-540-42235-8 Includes bibliographical references and indexes.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.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.Lecture Notes in Computer Science,0302-9743 ;2084Artificial intelligenceComputersAlgorithmsNeurosciencesNeurology Bioinformatics Computational biology Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Neuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Neurologyhttps://scigraph.springernature.com/ontologies/product-market-codes/H36001Computer Appl. in Life Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/L17004Artificial intelligence.Computers.Algorithms.Neurosciences.Neurology .Bioinformatics .Computational biology .Artificial Intelligence.Computation by Abstract Devices.Algorithm Analysis and Problem Complexity.Neurosciences.Neurology.Computer Appl. in Life Sciences.573.8Mira Joseedthttp://id.loc.gov/vocabulary/relators/edtPrieto Albertoedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910143596203321Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence1904953UNINA