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PPT10Chapter10TheNervousSystem
PPT10Chapter10TheNervousSystem

... Second type of nerve cell. Most important in the transmission of information. Enables the nervous system to act as a vast communication network. ...
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This newsletter is for your information only and is not a substitute for
This newsletter is for your information only and is not a substitute for

... experiences). The brain's programmed genetic development and our environmental life experiences interplay causing brain cells (neurons) to grow, to die, to form new connections, to lose connections, to turn on, and to turn off. These changes are most pronounced in the womb and during the first three ...
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Nervous system network models

Network of human nervous system comprises nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity may be viewed anatomically, functionally, or electrophysiologically. These are presented in several Wikipedia articles that include Connectionism (a.k.a. Parallel Distributed Processing (PDP)), Biological neural network, Artificial neural network (a.k.a. Neural network), Computational neuroscience, as well as in several books by Ascoli, G. A. (2002), Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. (2011), Gerstner, W., & Kistler, W. (2002), and Rumelhart, J. L., McClelland, J. L., and PDP Research Group (1986) among others. The focus of this article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective and connectivity is chosen, the models are developed at microscopic (ion and neuron), mesoscopic (functional or population), or macroscopic (system) levels. Computational modeling refers to models that are developed using computing tools.
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