Title :
Statistical Mechanics of Neocortical Interactions: EEG Dispersion Relations
Author_Institution :
Physical Studies Institute, Drawer W, Solana Beach, CA 92075, and the Institute for Pure and Applied Physical Sciences, University of California
Abstract :
An approach is explicitly formulated to blend a local with a global theory to investigate oscillatory neocortical firings to determine the source and the information-processing nature of the alpha rhythm. The basis of this optimism is founded on a statistical mechanical theory of neocortical interactions which has had success in numerically detailing properties of short-term memory (STM) capacity at the mesoscopic scales of columnar interactions, and which is consistent with other theories deriving similar dispersion relations at the macroscopic scales of electroencephalographic (EEG) and magnetoencephalographic (MEG) activity.
Keywords :
Artificial intelligence; Circuit testing; Dispersion; Electroencephalography; Hysteresis; Lagrangian functions; Magnetic properties; Mechanical factors; Microscopy; Rhythm; Biomedical Engineering; Biometry; Cerebral Cortex; Electroencephalography; Humans; Memory, Short-Term;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1985.325639