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Firing Rate Models
Firing Rate Models

... WjiE is the strength of an excitatory connection from cell j to cell i. W jiI is the strength of an inhibitory connection from cell j to cell i. Figure showing simulated noisy leaky-integrate-and-fire neuron with output to a saturating (NMDA) synapse. ...
Chapter 13 and 16
Chapter 13 and 16

... A. Astrocyte- function in creating bloodbrain barrier, provide structure B. Oligodendocyte- produce myelin sheath C. Microglia- immune cells of CNS, similar to macrophages D. Ependymal- found in ventricles of brain, produce cerebrospinal fluid ...
Introduction to Psychology - John Marshall High School
Introduction to Psychology - John Marshall High School

... Autonomic Nervous System the part of the peripheral nervous system that controls the glands and the muscles of the internal organs (such as the heart) ...
Chapter 2
Chapter 2

... represented mental abilities •incorrect, nevertheless proposed but … different mental abilities were modular. ...
activities unit 5 - Junta de Andalucía
activities unit 5 - Junta de Andalucía

... a) -------------- is made of neurons and dendrites b) -------------- is made of the axons of neurons c) ------------- protects the central nervous system in the skull and the spinal cord d) -------------- are membranes which protect the central nervous system. 6. Choose the correct word: a) Reflex a ...
Nerve Cells and Nerve Impulses Quiz Answers
Nerve Cells and Nerve Impulses Quiz Answers

... a) one dendrite and many axons covered with a myelin sheath interrupted by nodes of Ranvier b) many dendrites and one axon covered with a myelin sheath interrupted by nodes of Ranvier c) many dendrites and one axon covered with a myelin sheath interrupted by the synapse d) one dendrite and many axon ...
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Synapse

...  don’t need to think or ...
start - Wsfcs
start - Wsfcs

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Lectures 26-27 Study Guide
Lectures 26-27 Study Guide

... b. Integration: Neurons in the brain or ganglia integrate the sensory input. The vast majority of neurons in the brain are interneurons, which form local circuits that connect neurons in the brain. c. Motor output: Neurons that extend out of the processing centers trigger an output in the form of mu ...
Neurotransmitters
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... information to other cells in the body. We have a fixed number of neurons, which means they do not regenerate. About 10,000 neurons die every day, but since we start out with between ten and 100 billion (Hooper & Teresi, 1987), we only lose about 2% over our lifetime. Information comes into the neur ...
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Modeling working memory and decision making using generic

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Mind, Brain & Behavior
Mind, Brain & Behavior

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The Nervous System: Neural Tissue
The Nervous System: Neural Tissue

... 1. __________________ - cell body a. contains all organelles except centrioles (thus neurons are not able to reproduce) b. __________________ __________________– complex rough ER network with many ribosomes. 2. __________________ – typically shorter processes that convey impulses toward the soma. 3. ...
48 - Groupfusion.net
48 - Groupfusion.net

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Chapter 2

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Assignment: Sensing mechanical changes in firing neurons

... Volts/meter. When an action potential travels down the axon, deviations from this resting potential in the order of 100 milliVolts occur, causing a strong change in electrical field strength over this membrane. It is our hypothesis that this change in electrical field causes small mechanical deforma ...
Neural Coding: A Least Squares Approach
Neural Coding: A Least Squares Approach

... is loosely a sequence of delta functions at the spike times. Observe that (3) may be interpreted as a filtering operation . The model can be shown to be equivalent to an all pole filter, see Fig 4 (upper). Note that this is now partially an impulse response estimation problem (Hawkes, ...
Energy Saving Accounts for the Suppression of Sensory Detail
Energy Saving Accounts for the Suppression of Sensory Detail

... complexity increases from V1 to prefrontal cortex, with layerIII pyramidal cell dendritic branching patterns becoming more complex and larger, thus requiring more energy. Higher visual processing areas deal more with conceptual phenomena by integrating simple bits of information from lower processin ...
Chapter 2, section 2
Chapter 2, section 2

... Identify the brain part: • Connects to your spinal cord • Controls involuntary processes: body temperature, heart rate, blood pressure ...
The Importance of the Nervous System
The Importance of the Nervous System

... • ensures action potential travels in one direction only ...
Chapter 2: Biopsychology
Chapter 2: Biopsychology

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Central nervous system
Central nervous system

... – stronger stimuli causes a more rapid firing rate • CNS judges stimulus strength from firing frequency of sensory neurons – 600 action potentials/sec instead of 6 per second ...
Text 4-Nervous system: Organization and Physiology
Text 4-Nervous system: Organization and Physiology

... Saltatory conduction: action potentials jump from one node to the next as they propagate along a myelinated axon. ...
Chapter 2 Vocabulary
Chapter 2 Vocabulary

... computer-generated images that show brain structures more clearly. (p. 59) 30. The __________________ , the oldest and innermost region of the brain, is an extension of the spinal cord and is the central core of the brain; its structures direct automatic survival functions. (p. 61) 31. Located in 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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