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studying neurogenesis in cephalopods - UMR BOREA
studying neurogenesis in cephalopods - UMR BOREA

... a high flexibility and adaptability, which makes them a relevant biological material for evolutionary studies. Nevertheless, neither their development nor the mechanisms that could have led to the emergence of these derived traits have been studied. For example, the process of neural bilaterality es ...
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... condition of blocking the NCX was around −40 mV, which is exactly the reversal potential of nonselective cation channels (NSCC). And the orexin-A-evoked current was found to be voltage independence, which is also the characteristic of NSCC. These results demonstrate that orexin-A excites both type-A ...
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unit 5: the nervous and endocrine systems
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Chapter 12: Nervous Tissue
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Neurons and Circuits - UT Computer Science
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HW CH 5 PSY 2513 Submit your answers on canvas

E4 - Neurotransmitters and Synapses - IBDPBiology-Dnl
E4 - Neurotransmitters and Synapses - IBDPBiology-Dnl

... Pre-synaptic membrane, making dopamine to remain active in the synapse;  dopamine is associated with a feeling of pleasure , thus cocaine creates a mood of euphoria. ...
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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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