| 书目名称 | Space-Time Computing with Temporal Neural Networks | | 编辑 | James E. Smith | | 视频video | | | 丛书名称 | Synthesis Lectures on Computer Architecture | | 图书封面 |  | | 描述 | .Understanding and implementing the brain‘s computational paradigm is the one true grand challenge facing computer researchers. Not only are the brain‘s computational capabilities far beyond those of conventional computers, its energy efficiency is truly remarkable. This book, written from the perspective of a computer designer and targeted at computer researchers, is intended to give both background and lay out a course of action for studying the brain‘s computational paradigm. It contains a mix of concepts and ideas drawn from computational neuroscience, combined with those of the author...As background, relevant biological features are described in terms of their computational and communication properties. The brain‘s neocortex is constructed of massively interconnected neurons that compute and communicate via voltage spikes, and a strong argument can be made that precise spike timing is an essential element of the paradigm. Drawing from the biological features, a mathematics-based computational paradigm is constructed. The key feature is spiking neurons that perform communication and processing in space-time, with emphasis on time. In these paradigms, time is used as a freely a | | 出版日期 | Book 2017 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01754-4 | | isbn_softcover | 978-3-031-00626-5 | | isbn_ebook | 978-3-031-01754-4Series ISSN 1935-3235 Series E-ISSN 1935-3243 | | issn_series | 1935-3235 | | copyright | Springer Nature Switzerland AG 2017 |
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发表于 2025-3-21 17:05:16
