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Several reviews of migraine pathogenesis apply the FHM model of neural channelopathy to the typical migraines.
A valid model of neural networks should only feature bounded membrane potentials.
Moreover, a valid model of neural networks should only produce bounded membrane potentials.
Consequently, natural directions for future research are the analysis of these phenomena in our discrete-time model of neural networks.
Six models, including an original model of neural network with no data processing, were reviewed and launched.
Presented here is a model of neural tissue in a conductive medium stimulated by externally injected currents.
Descartes had earlier proposed a model of neural physiology, but in 1740s Britain the physics the model depended upon would have looked out of date.
Here we elucidate these effects using a spin glass model of neural networks for simulating stable configurations of cortical activity.
A multi-resolution analysis is then used to improve the blur assessment, deploying a model of neural pooling in cortical area V1 [18].
A lumped model of neural activity in neocortex is studied to identify regions of multi-stability of both steady states and periodic solutions.
Before applying the general theory of Section 2, let us make several comments about this generic model of neural network with learning.
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