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Neural integration
Neural integration

...  Primary motor cortex corresponds point by point with specific regions of the body  Cortical areas have been mapped out in diagrammatic form  Homunculus provides indication of degree of fine motor control available: – hands, face, and tongue, which are capable of varied and complex movements, app ...
PDF - 6 pages - Scholastic Heads Up
PDF - 6 pages - Scholastic Heads Up

Zoology 242 Anatomy of Nervous systems Lecture 8
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... structure in the cerebral-cortex tissue(USC) where a ionic-corpusclemolecolar flow represented by the reactive activity of the sensorial and motors centers ( and of the human language, with the 3 centers: Broca,Werniche,Kussmaul) , can be identified with the consciousness formation that can be inter ...
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... deal of attention among scientists and engineers and they are being touted as one of the greatest computational tools ever developed. Much of this excitement is due to the ability of neural networks to emulate the brain’s ability to learn by example. This network makes decision and draws conclusions ...
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dynamics of pathomorphological changes in rat ischemic spinal cord

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... as  perceiving,  assigning  meaning  to  actions  and  identifying  intentions.  In  contrast,  ToM  takes  a  simulation stance, and suggests that to understand others we actively simulate their actions using our  own experiences (Gallese and Goldman, 1998). By imagining ourselves in the place of t ...
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Electrophysiological evidence that noradrenergic neurons of the rat

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... loud the signal can be at any one time, will be a function of the energetic and psychological state of the signaller, as well as the local predation rate. (b) Transmission: environmental properties The signalling environment predictably attenuates and degrades signals. Choice or modification of the ...
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Lecture 26 revised 03/10 Upper Motor Control Last lecture we

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... c) Vestibulospinal tract: Fibres arise from lateral vestibular nucleus. Un crossed fibres reach the spinal cord, run in the anterior white column and synapse with anterior horn cells. d) Olivospinal tract: Fibre originate from inferior olivary nucleus descends in spinal cord in anterolateral column ...
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An implantable electrode design for both chronic in vivo

... (Drummond and Macmillan, 1998b; Edwards et al., 1999) to be expected to occur during flexion are evident in this recording. The signals recorded represent extracellular recordings of neuronal action potentials of the extensor neurons because of the absence of cross talk from flexor neuron activity o ...
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... signals and produce an integrated response. We illustrate our research strategy by reviewing our work on two separate neural systems: the hypothalamic paraventricular nucleus (PVN) and the suprachiasmatic nucleus (SCN). We have focused on different peptidergic subpopulations within these nuclei to a ...
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the primate amygdala: neuronal representations of

... After cluster cutting of the spikes with Datawave software, the numbers of spikes of the single neuron in 80 time bins each 100 ms long starting at the onset of the stimulus were obtained using SPSS. Statistical analysis was performed on the numbers of spikes in the first 1 s period after stimulus o ...
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Spike train propagation in the axon of a visual interneuron,... Locusta migratoria

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BOX 30.8 THE ROLE OF THE SUBTHALAMIC NUCLEUS IN

... You are sitting astride your bicycle at an intersection and just about to press down on the pedal when all of a sudden a motorist runs the light. This requires the rapid cancellation of an initiated action. Recent studies suggest that rapid stopping of this kind is implemented by a “hyperdirect” pat ...
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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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