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 Behaving Human Neocortex as a Dynamic Network of Networks,er into larger networks, and so on. We argue that dynamically reconfigurable networks of neurons exist at multiple scales, and are fundamental to the structural and functional integrity of the cortex..Experimental data supporting both the approach and the predictions of our neocortical model, termed

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The Neural Networks for Language in the Brain: Creating LAD,o be solved by using the simplest level of chunking; this arises naturally in the learning process, according to a set of simulations, provided the task of language learning is suitably hard. We conclude with an overview of future developments to allow a full LAD to be developed so as to begin to ap

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https://doi.org/10.1007/978-1-4614-0833-8ctivity between neurons within cortical areas, between areas of the cerebral cortex, and between the cortex and the environment. This paradigm recognizes the closed architecture of the behaving organism with respect to motor/sensory integration within a dynamic environment where the majority of sens

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René Djindjian,Jean-Jacques Merlande 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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