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Titlebook: Neural Modeling; Electrical Signal Pr Ronald J. MacGregor,Edwin R. Lewis Book 1977 Plenum Press, New York 1977 Nervous System.brain.neural

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書目名稱Neural Modeling
副標(biāo)題Electrical Signal Pr
編輯Ronald J. MacGregor,Edwin R. Lewis
視頻videohttp://file.papertrans.cn/664/663667/663667.mp4
圖書封面Titlebook: Neural Modeling; Electrical Signal Pr Ronald J. MacGregor,Edwin R. Lewis Book 1977 Plenum Press, New York 1977 Nervous System.brain.neural
描述The purpose of this book is to introduce and survey the various quantitative methods which have been proposed for describing, simulating, embodying, or characterizing the processing of electrical signals in nervous systems. We believe that electrical signal processing is a vital determinant of the functional organization of the brain, and that in unraveling the inherent complexities of this processing it will be essential to utilize the methods of quantification and modeling which have led to crowning successes in the physical and engineering sciences. In comprehensive terms, we conceive neural modeling to be the attempt to relate, in nervous systems, function to structure on the basis of operation. Sufficient knowledge and appropriate tools are at hand to maintain a serious and thorough study in the area. However, work in the area has yet to be satisfactorily integrated within contemporary brain research. Moreover, there exists a good deal of inefficiency within the area resulting from an overall lack of direction, critical self-evaluation, and cohesion. Such theoretical and modeling studies as have appeared exist largely as fragmented islands in the literature or as sparsely atte
出版日期Book 1977
關(guān)鍵詞Nervous System; brain; neural modeling; neuroscience; signal processing
版次1
doihttps://doi.org/10.1007/978-1-4684-2190-3
isbn_softcover978-1-4684-2192-7
isbn_ebook978-1-4684-2190-3
copyrightPlenum Press, New York 1977
The information of publication is updating

書目名稱Neural Modeling影響因子(影響力)




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Models of Specific Neural Networksor comprehensive coverage of vertebrate networks or even of models for those networks considered. However, the collection of models contained here can be considered representative of the state of the art in this area generally.
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https://doi.org/10.1007/978-1-4684-2190-3Nervous System; brain; neural modeling; neuroscience; signal processing
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Signal Processing in Nervous Systemsrst successful laboratory measurements of the nerve impulse in the mid-19th century, he wrote: “If I do not greatly deceive myself, I have succeeded in realizing in full actuality… the hundred years’ dream of physicists and physiologists, to wit, the identification of the nervous principle with elec
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