Cognitive Phase Transitions in the Cerebral Cortex - by Robert Kozma, Walter J. Freeman

By Robert Kozma, Walter J. Freeman

This interesting publication used to be born out of the numerous discussions the authors had long ago 10 years in regards to the position of scale-free constitution and dynamics in generating clever habit in brains.
The microscopic dynamics of neural networks is definitely defined by means of the present paradigm dependent in a slim interpretation of the neuron doctrine. This booklet broadens the doctrine by means of incorporating the dynamics of neural fields, as first published through modeling with differential equations (K-sets). The e-book broadens that method through program of random graph concept (neuropercolation). The ebook concludes with varied commentaries that exemplify the big 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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Extra resources for Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields

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The x coordinate increases from anterior (front) to the posterior (back) of the subject, the y coordinate increases from superior (top of the head) to the inferior (bottom) and the z coordinate increases from left to the right side of the subject. The MR results have been used to simulate EEG signals. Tissue resistivity values used in the model were compiled from published values [23–25] following the methodology described in [20, 22]. Using a uniform finite element solver [26], the scalp potentials were computed due to dipolar sources confined to the gray matter in the upper portion of the cerebral hemispheres.

Here we introduce examples of high-resolution intracranial electrocorticogram (ECoG) experiments with rabbits and human participants, as well as noninvasive scalp electroencephalogram (EEG) experiments. Results of these experiments will be used to illustrate the neurodynamic principles of cognition discussed in this work. 1 Experiments with Rabbits In the experiments with New Zealand rabbits, the animals have been chronically implanted epidurally with square arrays of 8 × 8 electrodes. 25 mm in diameter, they were made of stainless-steel, epoxy-insulated wires with connectors before surgery [1].

Neuroimage 15(1):159–166 22. Ramon C, Gehin C, Schmitt PM (2006) Interface pressure monitoring for a secured instrumented childbirth. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS’06, p 3186–3189 23. Geddes LA, Baker LE (1967) The specific resistance of biological materials. A compendium of data for the biomedical engineer and physiologist. Med Biol Eng 5(3):271–293 24. Foster KR, Schwan HP (1989) Dielectric properties of tissues and biological materials: a critical review.

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