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

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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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跑過

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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