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references - Academic Science,International Journal of Computer
references - Academic Science,International Journal of Computer

... wave system is shown in Figure 1. The hardware of this system consists mainly of two major parts: a wireless physiological signal acquisition module and an embedded signal processing module. So, in our proposed project work we are analyzing the mental activities of brain using EEG signals based on B ...
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BIOL241brain12aAUG2012
BIOL241brain12aAUG2012

... – Emotions and behavior: mediates perception of pleasure, fear, and rage – Regulation of body temperature, blood pressure, digestive tract motility, rate and depth of breathing, and many other visceral activities – Food intake (drives) – Water balance/thirst – Day/night rhythms – Endocrine functions ...
BIOL241brain12aAUG2012
BIOL241brain12aAUG2012

... –  Emotions and behavior: mediates perception of pleasure, fear, and rage –  Regulation of body temperature, blood pressure, digestive tract motility, rate and depth of breathing, and many other visceral activities –  Food intake (drives) –  Water balance/thirst –  Day/night rhythms –  Endocrine fun ...
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The Brain and Behaviour

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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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