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Mechanisms to synchronize neuronal activity
Mechanisms to synchronize neuronal activity

... observed (Freeman 1979a,b). The dynamics in the visual cortex have been accordingly nick-named 40-Hz oscillations but the phenomenon is actually much more complex. In the initial experiments on primary visual cortex (area 17) of anesthetized cats (Gray and Singer 1989; Gray et al. 1990) a broad peak ...
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... the sensory and prioprioceptive inputs modulate intrinsic dynamics. Neural models of associative, content-addressable memory show all the properties of biological memories, explain various form of amnesia. Reward-based learning modifies network structure to reflect environmental events, creates comp ...
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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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