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Multiplicative Gain Changes Are Induced by Excitation or Inhibition
Multiplicative Gain Changes Are Induced by Excitation or Inhibition

... Palmer in the laboratory of K.D.M.) (Palmer and Miller, 2002). The mean background conductance, combined with g leak , gives the cell a resting input resistance (R) of 41 M⍀. The capacitance (C) is set to give the cell a resting membrane time constant (␶m ⫽ RC) of 20 msec. Hodgkin–Huxley model. Simu ...
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Grasping the Intentions of Others with One`s Own Mirror Neuron

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FREE Sample Here - Find the cheapest test bank for your
FREE Sample Here - Find the cheapest test bank for your

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text of chapter 2
text of chapter 2

... the visual system and record how often the single cell fires to particular pictures. Look for instance at Figure 2.7. Washmuth, Oram, and Perrett (1994) show the number of neural impulses per second recorded from brain cells in the visual pathway of monkeys. The cell fired more frequently to picture ...
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Ch 13: Homeostasis: Active regulation of internal states

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Lecture 16 Topographic mapping Retinotopic mapping Frog optic

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Volume and Number of Neurons of the Human
Volume and Number of Neurons of the Human

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Cellular mechanisms underlying network synchrony in the medial
Cellular mechanisms underlying network synchrony in the medial

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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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