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Titlebook: Computational Models for Neuroscience; Human Cortical Infor Robert Hecht-Nielsen,Thomas McKenna Book 2003 Springer-Verlag London 2003 artif

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发表于 2025-3-21 19:10:55 | 显示全部楼层 |阅读模式
书目名称Computational Models for Neuroscience
副标题Human Cortical Infor
编辑Robert Hecht-Nielsen,Thomas McKenna
视频videohttp://file.papertrans.cn/233/232838/232838.mp4
概述Provides a unique overview of key work in this area.Includes supplementary material:
图书封面Titlebook: Computational Models for Neuroscience; Human Cortical Infor Robert Hecht-Nielsen,Thomas McKenna Book 2003 Springer-Verlag London 2003 artif
描述Formal study of neuroscience (broadly defined) has been underway for millennia. For example, writing 2,350 years ago, Aristotle! asserted that association - of which he defined three specific varieties - lies at the center of human cognition. Over the past two centuries, the simultaneous rapid advancements of technology and (conse­ quently) per capita economic output have fueled an exponentially increasing effort in neuroscience research. Today, thanks to the accumulated efforts of hundreds of thousands of scientists, we possess an enormous body of knowledge about the mind and brain. Unfortunately, much of this knowledge is in the form of isolated factoids. In terms of "big picture" understanding, surprisingly little progress has been made since Aristotle. In some arenas we have probably suffered negative progress because certain neuroscience and neurophilosophy precepts have clouded our self-knowledge; causing us to become largely oblivious to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically seg­ ment all aspects of the world into distinct holistic objects and the massive reorganiza­ t
出版日期Book 2003
关键词artificial intelligence; brain; cerebral cortex; computational intelligence; computational neuroscience;
版次1
doihttps://doi.org/10.1007/978-1-4471-0085-0
isbn_softcover978-1-4471-1111-5
isbn_ebook978-1-4471-0085-0
copyrightSpringer-Verlag London 2003
The information of publication is updating

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The Cortical Pyramidal Cell as a Set of Interacting Error Backpropagating Dendrites: Mechanism for e environment. This is a most remarkable skill, considering that behaviorally significant environmental regularities are not easy to discern: they are complex, operating among multi-level nonlinear combinations of environmental conditions, which are orders of complexity removed from raw sensory inpu
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A Theory of Thalamocortex, as a unary structure. The theory consists of four major elements: two novel associative memory neuronal network structures (. and .), a universal information processing operation (.), and an overall real-time brain control system (the .). One important . type of thalamocortical neural network is al
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The Development of Cortical Models to Enable Neural-based Cognitive Architectures, to functional “black box” systems approaches, to large-scale neural circuit models. Currently, computational neuroscience is producing increasingly detailed neurobiologically based models of cortex and related structures. Many of these are intended as simulations of the biology, and are subject onl
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Towards Global Principles of Brain Processing,create specific control structures to achieve active responses to inputs and to develop memory systems for more effective responses to the environment. Consciousness and thinking are regarded as top-level processes created by suitable attentionally driven brain structures which are identified mainly
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Cortical Belief Networks,s value of an encoded quantity. We propose an alternative hypothesis, that neural populations represent, and effectively compute, probabilities. Under this hypothesis, population activities can contain additional information about such things as multiple values of, or uncertainty about, the quantity
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