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

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Politik der Starken Abhängigkeitenon of one control level to another. A military hierarchy is a common example of herarchical relationships. A general gives orders to his officers who, in turn, give orders to their soldiers. A variety of other examples of hierarchies can be provided. However, one has to identify the very nature of a
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Neue Grundlagen Für die Kleist-Forschung and γ-motoneurons, Ia interneurons, and Renshaw cells) and by extrafusal and intrafusal muscle fibers. The experimental data on the structure of synaptic connections between cells of these types and the characteristics of their activation during movements are well known (see, e.g., Granit 1970). Th
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Du Sollst dir Kein Bildnis Machenhalamus to the motor cortex (Allen and Tsukahara 1974; Evarts and Thach 1969; Kemp and Powell 1971). Subsequent studies led to a view that there is segregation of influences from the sensorimotor and association cortices through the basal ganglia-thalamocortical pathway (DeLong and Geor-gopoulos 198
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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
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Philosophieren Heisst Sterben Lernen 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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https://doi.org/10.1007/978-3-476-00814-5automatisms in addition to the automatisms of neural networks. They can be molecular, genetic, biochemical, cellular, and even social. In all these cases, the control system is hierarchical, and each level is an OCS built of a network of interacting elements. Therefore, all of the concepts described
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