By Robert Kozma, Walter J. Freeman
This exciting e-book was once born out of the various discussions the authors had some time past 10 years in regards to the function of scale-free constitution and dynamics in generating clever habit in brains.
The microscopic dynamics of neural networks is easily defined by means of the present paradigm dependent in a slim interpretation of the neuron doctrine. This publication broadens the doctrine by way of incorporating the dynamics of neural fields, as first printed through modeling with differential equations (K-sets). The ebook broadens that procedure via software of random graph thought (neuropercolation). The ebook concludes with various commentaries that exemplify the wide variety of mathematical/conceptual techniques to neural fields.
This publication is meant for researchers, postdocs, and graduate scholars, who see the restrictions of community conception and search a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.
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Additional info for Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields
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The constraints were represented by a low-dimensional attractor governing AM/PM pattern formation. A sharp discontinuity in the analytic frequency demarcated the transition just prior to the appearance of new AM/PM patterns. 6 Experimental Observation of Singularity We found three markers for a singularity in cortical dynamics in ECoG data, which are summarized as follows: 1. The location of the apex of the conic phase modulation pattern. 2. Vortex formation with a center of clockwise or counterclockwise rotation in highresolution ECoG image sequences.
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