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- Describe the roles of the different types of glial cells
- Describe the roles of the different types of glial cells

... after it has been released and facilitate its quick removal from the synapse. This is important as NT concentrations can rise from nM to mM following an AP and some NTs like glutamate can cause excitotoxicity and need to be quickly removed. Some rely on conc gradients of other substances. Family 1 t ...
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Answer Key Chapter 28 - Scarsdale Public Schools

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Neurons - MrsMcFadin

... Types of Neurons • Neurons are classified according to the direction in which an impulse travels: 1. Sensory neurons = carry impulses from sense organs (eyes and ears) to spinal cord and brain. 2. Motor neurons = carry impulses from brain and the spinal cord to muscles and glands. 3. Interneurons = ...
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11 - Karmayog .org

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INTEGUMENTARY SYSTEM - Coast Colleges Home Page

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INTEGUMENTARY SYSTEM

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Bio70 Psychobiology Fall 2006 First Midterm October 12 Version A
Bio70 Psychobiology Fall 2006 First Midterm October 12 Version A

... 36. Cell bodies of sensory neurons are located in the: a. spinal cord. b. dorsal root ganglia. c. white matter. d. ventral roots. 37. Sympathetic is to ____ as parasympathetic is to ____. a. serotonin; dopamine b. dopamine; serotonin c. acetylcholine; norepinephrine d. norepinephrine; acetylcholine ...
Central Nervous System
Central Nervous System

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Concept Mapping Back Print

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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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