| 书目名称 | Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence | | 副标题 | 6th International Wo | | 编辑 | José Mira,Alberto Prieto | | 视频video | http://file.papertrans.cn/236/235620/235620.mp4 | | 概述 | Includes supplementary material: | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | 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 c | | 出版日期 | Conference proceedings 2001 | | 关键词 | Connectionism; Simulation; algorithmic learning; artificial neural networks; biocomputing; brain-like com | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-45720-8 | | isbn_softcover | 978-3-540-42235-8 | | isbn_ebook | 978-3-540-45720-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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