Titlebook: Biological Neural Networks: Hierarchical Concept of Brain Function; Konstantin V. Baev Book 1998 Birkhäuser Boston 1998 Biological Network

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Generalizing the Concept of a Neural Optimal Control System: A Generic Neural Optimal Control SysteThe representation of the spinal motor control system in the form of a neural OCS can explain all major experimentally revealed peculiarities of the structure and function of this system. Now it is necessary to generalize the idea of a neural OCS in such a way that it can be applied to any subsystem of the nervous system.

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Learning in Artificial and Biological Neural Networks,The dominant biological approach to the problem of learning was discussed in Section 1.2. We saw that, in neurobiology, emphasis is put on the experimental proof of long-term changes in neural network parameters, mainly parameters of synaptic transmission. In neurocomputing, the approach is completely different.

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The Prefrontal Cortex, capabilities evolved with the creation of the limbic system level? The answer would be quite clear. The system acquired the ability to actively learn and perform discrete multistep control by utilizing the memorization of intermediate states and the process of control optimization.

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Christine Thewes,Günter Blambergerand the cingulate gyrus. From a functional point of view, this classification can be justified by the fact “that many, if not all, of the effects produced by stimulation and lesions of the extrahypothalamic limbic structures can be replicated by stimulation or lesions of the hypothalamus” (Isaacson 1982, p. 2).