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035   $a(DE-He213)978-3-540-45720-6
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100   $a20121227d2001      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aConnectionist Models of Neurons, Learning Processes, and Artificial Intelligence$b[electronic resource] $e6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I /$fedited by Jose Mira, Alberto Prieto
205   $a1st ed. 2001.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001.
215   $a1 online resource (XXVIII, 840 p.)
225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2084
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-42235-8 
320   $aIncludes bibliographical references and indexes.
327   $aFoundations 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.
330   $aUnderlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:?Whatdoesneurosciencebringintocomputation(thenew bionics)?? That is to say, how can we seek inspiration in biology? Titles such as ?computational intelligence?, ?arti?cial neural nets?, ?genetic algorithms?, ?evolutionary hardware?, ?evolutive architectures?, ?embryonics?, ?sensory n- romorphic systems?, and ?emotional robotics? are representatives of the present interest in ?biological electronics? (bionics). Thesecondquestionis:?Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?? That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.
410  0$aLecture Notes in Computer Science,$x0302-9743 ;$v2084
606   $aArtificial intelligence
606   $aComputers
606   $aAlgorithms
606   $aNeurosciences
606   $aNeurology 
606   $aBioinformatics 
606   $aComputational biology 
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013
606   $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021
606   $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006
606   $aNeurology$3https://scigraph.springernature.com/ontologies/product-market-codes/H36001
606   $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004
615  0$aArtificial intelligence.
615  0$aComputers.
615  0$aAlgorithms.
615  0$aNeurosciences.
615  0$aNeurology .
615  0$aBioinformatics .
615  0$aComputational biology .
615 14$aArtificial Intelligence.
615 24$aComputation by Abstract Devices.
615 24$aAlgorithm Analysis and Problem Complexity.
615 24$aNeurosciences.
615 24$aNeurology.
615 24$aComputer Appl. in Life Sciences.
676   $a573.8
702   $aMira$b Jose$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aPrieto$b Alberto$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910143596203321
996   $aConnectionist Models of Neurons, Learning Processes, and Artificial Intelligence$91904953
997   $aUNINA