Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I
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 first one is : “What does neuroscience bring in computation (the new bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “artificial 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). The second question is : “What can return computation to neuroscience (the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and artificial 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.
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I
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 first one is : “What does neuroscience bring in computation (the new bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “artificial 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). The second question is : “What can return computation to neuroscience (the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and artificial 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.
109.99
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Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I
840
Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I
840Paperback(2001)
$109.99
109.99
In Stock
Product Details
| ISBN-13: | 9783540422358 |
|---|---|
| Publisher: | Springer Berlin Heidelberg |
| Publication date: | 08/09/2001 |
| Series: | Lecture Notes in Computer Science , #2084 |
| Edition description: | 2001 |
| Pages: | 840 |
| Product dimensions: | 6.10(w) x 9.17(h) x 0.05(d) |
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