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`synapse`.
`synapse`.

... neurotransmitters that have been released are recalled back into the axon terminal in a process called 'reuptake' so that they are available should the neuron need to fire again. ...
biological psychologists endorphins neuron morphine dendrite
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Neuroscience and Behavior
Neuroscience and Behavior

... A subcortical structure that regulates body temperature, hunger, thirst and sexual behavior Pituitary Gland The “master gland”. Secretes stimulating hormones to all but two of the endocrine glands. Without stimulating hormones the rest of the endocrine system could not function. Limbic System A grou ...
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3-2_UniqueFt_of_Neurons

... branches at its destination, where it emerges (axon hillock) from the perikaryon it shows high density of voltage-dependent sodium channels as this is the place where the action potential starts and the axon itself carries the nerve signal away from the soma ...
Chapter 48: The Nervous System
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abstract - ELSC at
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... Neuronal Circuits Neuronal circuits in the central nervous system process information by the collective dynamics of large recurrently connected networks of nerve cells interacting with each other by sending and receiving electrical impulses called action potentials (APs). Interacting exclusively by ...
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The Nervous System

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download

... The aim of the applets is to illustrate the dynamics of different artificial neural networks. Emphasis has been put on visualization and interactive interfaces. The Java Applets are not intended for and not useful for large-scale applications! Users interested in application programs should use othe ...
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... contains genetic material and other structures that are found in virtually all the cells in the body. Extending out from the cell body are many short, branching fibers, called dendrites. Dendrites receive messages from other neurons or specialized cells. The axon is a single, elongated tube that ext ...
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The Nervous System

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notes - Other Places you want to go

... Neuroglia – support neurons by preforming various tasks so neurons can do their job **Know Figure 16.3 for test** (see Neuron handout) Parts of the Neuron:  Dendrites – conduct electrical signals towards the neuron’s cell body  Axons – direct electrical signals away from the neuron’s cell body Tas ...
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... 7. The fingerlike structures of a neuron that receive input from other neurons are called: A. dendrites B. axons C. vesicles D. myelins ...
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... – the nerve impulse refers to the series of ________________________________________ that take place segment by segment as they move down the length of the axon • ____________________ – if an action potential starts at the beginning of the axon, the action potential will continue at the same speed s ...
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... 1. List the basic functions of the nervous system 2. draw a concept map to show the structural and functional divisions of the nervous system 3. List the types of neuroglia and cite their functions ...
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... interneurons are sensitive to complex features of the world; networks of interneurons are responsible for cognition and (presumably) consciousness. – Motor neurons transmit messages to muscles, controlling their action. ...
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Slide 1 - AccessPhysiotherapy

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... 31. Which of the following would contribute to the negative resting membrane potential of a neuron? (p 17) 32. Which of the following states is true regarding the resting membrane potential of a neuron? (45) 33. When the membrane potential becomes positive, this is called __________. (p 46) 34. Wha ...
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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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