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Chapter1
Chapter1

... representation for the input and output, and what is the algorithm for the transformation? 3. Hardware implementation: How can the representation and algorithm be realized physically? Marr puts great importance to the first level: ”To phrase the matter in another way, an algorithm is likely to be un ...
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... An inherited characteristic that increased in a population (through natural selection) because it helped solve a problem of survival or reproduction during the time it emerged. ...
Ch 11 Part 2 - Groch Biology
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... 7. Structurally, the most common neurons are ______________. 8. A neuron that transmits impulses from pain receptors in your skin to your spinal cord is classified as a(n) _______________neuron. Structurally, this type of neuron is __________________. 9. Matching. a. absolute refractory period b. ac ...
Test Review: Chapter 2 1. The function of
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... of its membrane and allowing positive ions to rush in. • The neuron then quickly pushes the positively charged ions back out again and closes that section of its membrane. • The neuron then opens the next section of its membrane and allows the positively charged ions to rush in, and quickly pushes t ...
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... The typical neuron of a vertebrate animal can carry time impulses for a considerable distance. The neuron depicted here, with its various parts drawn to scale, is enlarged 250 times. The nerve impulses originate in the cell body, and are propagated along the axon, which may have one or more branches ...
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...  Not present on all cells  When present increases the speed of neural signals down the axon. ...
The Nervous System
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...  Wave of depolarization only moves in 1 directions from the dendrites to the cell body to the axon  Original stimulation must be above threshold level in order for an impulse to be started (all or nothing) Figure 48.10 Propagation of the action potential Figure 48.11 Saltatory conduction ...
Chapter 2
Chapter 2

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Chapter 3: The Biological Bases of Behavior
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... divide  But new dendrites can grow  Provides room for more connections to other neurons  New connections are basis for learning ...
Name: Date: Period:
Name: Date: Period:

... The nervous system uses different types of neurons for different jobs. The three basic neuron types are sensory neurons, motor neurons, and interneurons. Sensory neurons send information to the brain. Motor neurons carry out instructions from the brain. Interneurons carry the messages ‘in between’ t ...
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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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