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Titlebook: Neural Computation, Neural Devices, and Neural Prosthesis; Zhi Yang Book 2014 Springer Science+Business Media New York 2014 Biofeedback.In

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發(fā)表于 2025-3-21 18:34:24 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Neural Computation, Neural Devices, and Neural Prosthesis
編輯Zhi Yang
視頻videohttp://file.papertrans.cn/664/663542/663542.mp4
概述Assembles a base of knowledge from different fields of neuroscience, computation, material and technology, circuits and system, clinical reports, and psychology.Provides a systematic approach guiding
圖書封面Titlebook: Neural Computation, Neural Devices, and Neural Prosthesis;  Zhi Yang Book 2014 Springer Science+Business Media New York 2014 Biofeedback.In
描述.In the past decades, interdisciplinary investigations overlapping biology, medicine, information science, and engineering have formed a very exciting and active field that attracts scientists, medical doctors, and engineers with knowledge in different domains. A few examples of such investigations include neural prosthetic implants that aim to improve the quality of life for patients suffering from neurologic disease and injury; brain machine interfaces that sense, analyze, and translate electrical signals from the brain to build closed-loop, biofeedback systems; and fundamental studies of intelligence, cognitive functions, and psychological behaviors correlated to their neurological basis. Although this interdisciplinary area is still in its infancy, it can potentially create some of the most significant impact: treating diseases that are considered untreatable, interpretation and communication of neuron ensembles, or even a revolutionary perception and understanding of life different from philosophical or immaterial approaches. Fortunately, several academic societies recognize the value and impact of this growing field, firmly supporting related research. Such support will drive
出版日期Book 2014
關(guān)鍵詞Biofeedback; Intelligence; Neurology; Prosthetics; Psychology
版次1
doihttps://doi.org/10.1007/978-1-4614-8151-5
isbn_softcover978-1-4939-4235-0
isbn_ebook978-1-4614-8151-5
copyrightSpringer Science+Business Media New York 2014
The information of publication is updating

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Energy-Efficient Digital Processing for Neural Action Potentials,for algorithm selection and optimization. Digital design techniques that are beneficial in power and area reduction for neural signal processing DSPs are also discussed. Finally, we discuss the challenges and future directions in the area of biosignal processing.
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Advances in Learning Visual Saliency: From Image Primitives to Semantic Contents, inside the black box is also of great interest to both the human vision and computer vision communities. This chapter introduces recent advances in features that determine saliency, reviews related learning methods and insights drawn from learning outcomes, and discusses resources and metrics in saliency prediction.
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