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Brain Anatomy and Histology of Orange Spotted Grouper
Brain Anatomy and Histology of Orange Spotted Grouper

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PDF hosted at the Radboud Repository of the Radboud University Nijmegen
PDF hosted at the Radboud Repository of the Radboud University Nijmegen

... sory integration Summary: Most cognitive functions are based on highly parallel and distributed information processing by the brain. A paradigmatic example is provided by the ver­ tebrate visual system where numerous cortical areas have been described which anal­ yse different types of visual inform ...
Taste and Smell - Liberty Hill High School
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The Structure of Spatial Receptive Fields of Neurons in Primary

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Brain Electrical Activity During Waking and Sleep States

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... b. degree of precise control required by each of the parts. c. sensitivity of the body region. d. area of the occipital lobe being stimulated by the environment. 15. The nerve fibers that enable communication between the right and left cerebral hemispheres and that have been severed in split-brain p ...
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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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