Abstract
Despite their significant successes, neural networks typically represent relatively static memory structures and solve static classification problems. The next step in the evolution of AI systems will be the capture of the dynamic aspects of cognition. The dynamics are embodied in the ephaptic fields of the neocortex and limbic system, formed by the vast populations of resonating electric dipoles comprised of a multitude of ion channels present on the surface of each neuron. These ion-based e-fields form dynamic brainwaves, which synchronize distant areas of the cortex at the speed of light (orders of magnitude faster than axonal pulse speed) via resonance in the beta, theta, and gamma range. They are quite important for the understanding of the working of the brain.
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