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brain - FIAS
brain - FIAS

... membrane constant ...
2 3 1 4 3` SUPPLEMENTARY MATERIAL
2 3 1 4 3` SUPPLEMENTARY MATERIAL

... fixation after electrophysiological recordings of TC cells (arrows) from the same slice and after GFAP (blue), eNpHR/EYFP (green) and biocytin (red) labeling. b, Low-power videomicroscopic image of the slice showing locations of patch-clamp electrode and optical fiber through which the 594nm light w ...
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... Functionally, the dendritic inhomogeneity of the STDP window may allow differential selection of synaptic inputs at different portions of the dendrites according to the temporal characteristics of the presynaptic spike trains, as suggested by simulation studies (38). Although spatial inhomogeneity i ...
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... B. First-Order Neurons. Pseudounipolar neurons in the dorsal root ganglion, with their central axon forming the dorsolateral fasciculus (Lissauer’s tract). In Lissauer’s tract the incoming fibers divide into ascending and descending branches. Most branches are ascending. All branches ultimately syna ...
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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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