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chapter review questions
chapter review questions

... all motor neurons are unipolar neurons essentially all bipolar neurons are sensory neurons unipolar neurons only function as motor neurons ...
Analogy = Computer
Analogy = Computer

... B. Cerebrum (cerebral hemispheres): 1) Cerebral cortex: • Contains 3 types of functional areas • Contralateral control (e.g., left hemisphere controls right body) Decussation: Location where neural pathways cross ...
Advances in Artificial/Computational Intelligence and Neuroscience
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... Dr Slawomir Nasuto, Cybernetic Intelligence Research Group, University of Reading Animats, a type of Brain Machine Interfaces, are hybrid platforms in which the nervous system forms a part of a closed loop with an artefact. Such systems enable study of the neural information processing, sensory moto ...
extra pyramidal system
extra pyramidal system

... it originates from the red nucleus which is present in the tegmentum of mid brain. Then these cross over to the opposite side and descend through the pons, medulla oblongata to enter the lateral white column of spinal cord and it terminates onto the motor neurons in the ventral horn of spinal cord a ...
Nerve sheaths:
Nerve sheaths:

... Synaptic transmission (electrical synapse) occur either by:  Conduction of nerve impulse from one cell to another (through depolarization) (1) Bidirectional (2)In C.N.C  Or transmitted by chemical transmission i.e releasing of neurotransmitter from the axon to the synaptic site (1) Unidirectional ...
Simulating Crowded Cytoplasm Animating Molecular Biology
Simulating Crowded Cytoplasm Animating Molecular Biology

... and transcription factors to describe the information flow within cells. The work serves as part of a larger effort within Gerstein’s group to develop real-world analogies to explain how biological systems use and process information. Previously, the group had shown that hierarchies in biological re ...
power point Link
power point Link

...  describe problems of the nervous system.  explain how you can keep your nervous system healthy.  practice decision-making skills to protect the nervous system. ...
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Cellular localization of RNA expression in central and peripheral

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neurotransmitters 101
neurotransmitters 101

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Transcript

... neural development and what this small group of cells has to transform itself into is the brain that we saw functioning from many of Eric's descriptions here. And again this phase of transition from embryonic nervous system to adult brain is one of enormous change, their cells are proliferating to g ...
Chapter 9 Part 3 Central Nervous System
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Biomorphic Circuits and Systems: Control of Robotic and Prosthetic Limbs

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Webster transitions class 2 slides

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When Does `Personhood` Begin? - School of Medicine, Queen`s

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November 2000 Volume 3 Number Supp pp 1184

... Activity may be maintained in a neural network through recurrent excitation. This idea underlies the Hopfield model27 for storing discrete memory items in the synaptic weight matrix of a network and retrieving them as fixed-point attractors of the activation dynamics. In this model, neurons that col ...
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(B) rosiglitazone

... c, Loose patch recordings of POMC neurons from wild-type (WT, POMC-GFP) and POMC-mut-Kir6.2 transgenic mice. Recordings were made for 5–10 min in aCSF solution containing 5mM glucose. Once stable activities were observed, the recording chamber was perfused with aCSF solution containing 3mM glucose ...
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Smell - Brain Day Association of U of T

... The Neuron The human brain is made up of 100 billion cells called Neurons! Many neurons produce signals (packets of information) and pass them on to other neurons. This ­neuronal activity is how we think, move and feel. Neurons are ­different from other cells in our body ­because they have speciali ...
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Neuron_glia interaction

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1 Platonic model of mind as an approximation to neurodynamics

... Although large body of empirical facts have been accumulated in cognitive psychology [2] so far only very few attempts that aim at a unified theory of cognition have been made. They came mostly from the artificial intelligence perspective. John Anderson’s series of ACT models 2 , developed by him an ...
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Chapter 2

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 intelligent encoding
intelligent encoding

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DECODING NEURONAL FIRING AND MODELING NEURAL
DECODING NEURONAL FIRING AND MODELING NEURAL

... 9. If these changes are small, we have the added advantage that their impact can be determined by a linear computation which resolves many of the problems associated with intrinsic neuronal complexity, problem ii). If the changes are larger, calculating their effects is more ambiguous but the linear ...
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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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