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Titlebook: Neuroscience: From Neural Networks to Artificial Intelligence; Proceedings of a U.S Pablo Rudomin,Michael A. Arbib,Ranulfo Romo Conference

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發(fā)表于 2025-3-21 17:59:33 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Neuroscience: From Neural Networks to Artificial Intelligence
副標題Proceedings of a U.S
編輯Pablo Rudomin,Michael A. Arbib,Ranulfo Romo
視頻videohttp://file.papertrans.cn/665/664505/664505.mp4
叢書名稱Research Notes in Neural Computing
圖書封面Titlebook: Neuroscience: From Neural Networks to Artificial Intelligence; Proceedings of a U.S Pablo Rudomin,Michael A. Arbib,Ranulfo Romo Conference
描述The Central Nervous System can be considered as an aggregate of neurons specialized in both the transmission and transformation of information. Information can be used for many purposes, but probably the most important one is to generate a representation of the "external" world that allows the organism to react properly to changes in its external environment. These functions range from such basic ones as detection of changes that may lead to tissue damage and eventual destruction of the organism and the implementation of avoidance reactions, to more elaborate representations of the external world implying recognition of shapes, sounds and textures as the basis of planned action or even reflection. Some of these functions confer a clear survival advantage to the organism (prey or mate recognition, escape reactions, etc. ). Others can be considered as an essential part of cognitive processes that contribute, to varying degrees, to the development of individuality and self-consciousness. How can we hope to understand the complexity inherent in this range of functionalities? One of the distinguishing features of the last two decades has been the availability of computational power that
出版日期Conference proceedings 1993
關(guān)鍵詞Adaptive control; Artificial Intelligence; Brain Theory; Hirnforschung; Künstliche Intelligenz; Neural Ne
版次1
doihttps://doi.org/10.1007/978-3-642-78102-5
isbn_softcover978-3-540-56501-7
isbn_ebook978-3-642-78102-5Series ISSN 0939-4818
issn_series 0939-4818
copyrightSpringer-Verlag Berlin Heidelberg 1993
The information of publication is updating

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https://doi.org/10.1007/978-3-642-78102-5Adaptive control; Artificial Intelligence; Brain Theory; Hirnforschung; Künstliche Intelligenz; Neural Ne
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Cortical Representation of Touchbetween sensory performance and neuronal signals within the somatic sensory cortex of primates are described. The relevance for studying the representation of sensory signals in the neocortex is discussed, particularly for understanding sensorimotor integration.
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Michael A. Arbibdded. It is an essential resource for anyone working in the rapidly evolving field of key technology, including mechanical and electrical engineers, materials scientists, physicists, and chemists..978-3-662-54357-3Series ISSN 2522-8692 Series E-ISSN 2522-8706
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Neuroscience: From Neural Networks to Artificial IntelligenceProceedings of a U.S
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Dynamical Approach to Collective Brainanges, and creativity..In this paper collective activities of a set of units of intelligence are represented by a dynamical system which imposes upon its variables different types of non-rigid constraints such as probabilistic correlations via the joint density. It is reasonable to assume that these
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