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Titlebook: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence; 6th International Wo José Mira,Alberto Prieto Conference

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書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
副標(biāo)題6th International Wo
編輯José Mira,Alberto Prieto
視頻videohttp://file.papertrans.cn/236/235620/235620.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence; 6th International Wo José Mira,Alberto Prieto Conference
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
關(guān)鍵詞Connectionism; Simulation; algorithmic learning; artificial neural networks; biocomputing; brain-like com
版次1
doihttps://doi.org/10.1007/3-540-45720-8
isbn_softcover978-3-540-42235-8
isbn_ebook978-3-540-45720-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

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High Speed Turbo-like Decoders,eometrical and electrogenic elements. The subtleness of their performance is such that experimental research, necessarily invasive, often yields contradictory results. Biophysical models help to understand better what dendrites can actually do and what they mean for the global processing and, perhap
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Losses in Turbine and Compressor Cascades,e study of a single code versus a distributed code has been contrasted using this methodology. The redundancy inherent in the code has been quantified by computing the bits of information transmitted by increasing number of neurons. Although initially there is a linear growth, when certain numbers o
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Integral Balances in Turbomachineryoding conspicuity of locations during visual attention. Attention window is developed in thalamus due to its retinotopic organization. The global competitive network in thalamic reticular nucleus (NRT) determines which thalamic cells should produce bursting response. These cells are corresponded wit
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Turbine and Compressor Cascade Flow Forces of formal neurons with end-stopping inhibitory and disinhibitory zones in the receptive field. We evaluated the output responses of neurons under variation of a cross size, shape, orientation. It was shown that disinhibitory mechanism could explain neuronal sensitivity to cross-like figures. The tu
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