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ATP-Sensitive K+ Channels in the Brain: Sensors of
ATP-Sensitive K+ Channels in the Brain: Sensors of

... hyperpolarization in CA1 neurons and that the ratio of the contribution of these two channels differs in individual CA1 neurons. A key question remains from these extensive studies: what is the physiological role of brain KATP channels? Recent investigations of KATP channels by molecular approaches ...
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Chapter 3 The Nervous System and the Brain
Chapter 3 The Nervous System and the Brain

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Exercise 5: Synaptic Integration - הפקולטה למדעי הבריאות
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Neurons, Brain Chemistry, and Neurotransmission
Neurons, Brain Chemistry, and Neurotransmission

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PDF

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Chapter 2: Brain and Behavior
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Chapter 2: Brain and Behavior
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Chapter 2: The Brain and Behavior
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THE BASAL GANGLIA

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THE BASAL GANGLIA
THE BASAL GANGLIA

... along with their connected cortical and thalamic areas, are viewed as components of parallel circuits whose functional and morphological segregation is rather strictly maintained. Each circuit is thought to engage separate regions of the basal ganglia and thalamus, and the output of each appears to ...
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PDF

... population of neurons. How does the mechanism of synaptic semblance (Figure 1A) lead to the concurrent firing of specific neurons during memory retrieval? This may be explained as follows. Oscillating neuronal activities take place both in the hippocampus and in the cortex. Different memory tasks are ...
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PDF

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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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