Abstract
The interaction of large populations of neurons gives rise to electrical events in the brain, which can be observed at several spatial scales. We show that mutually consistent explanations and simulation of experimental data can be achieved for cortical gamma activity, synchronous oscillation, and the main features of the EEG power spectrum including the cerebral rhythms, and evoked potentials. These simulations include consideration of dendritic and synaptic dynamics, AMPA, NMDA and GABA receptors, and intracortical and cortical/subcortical interactions. The dynamic properties exhibited in the simulations, Hebbian synaptic modification regulated by a limited set of innate "reward" mechanisms, and infomax principles, can be combined to yield an explanation of elementary adaptive learning.
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