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FINE STRUCTURE OF NERVE FIBERS AND GROWTH CONES OF
FINE STRUCTURE OF NERVE FIBERS AND GROWTH CONES OF

... fiber (c) these c o m p o n e n t s were joined by vesicles a n d b r a n c h i n g cisternae of endoplasmic reticulum, dense-cored structures, a n d coated vesicles. T h e dense m a t r i x m a t e r i a l alluded to here a n d in a (as well as in other tips; vide infra) p r o b a b l y corresponds ...
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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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