creators_name: Ingber, Lester type: preprint datestamp: 1999-06-15 lastmod: 2011-03-11 08:53:39 metadata_visibility: show title: Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory subjects: comp-neuro-sci subjects: comp-sci-stat-model full_text_status: public keywords: EEG; short term memory; nonlinear; statistical abstract: This paper focuses on how bottom-up neocortical models can be developed into eigenfunction expansions of probability distributions appropriate to describe short-term memory in the context of scalp EEG. The mathematics of eigenfunctions are similar to the top-down eigenfunctions developed by Nunez, albeit they have different physical manifestations. The bottom-up eigenfunctions are at the local mesocolumnar scale, whereas the top-down eigenfunctions are at the global regional scale. However, as described in several joint papers, our approaches have regions of substantial overlap, and future studies may expand top-down eigenfunctions into the bottom-up eigenfunctions, yielding a model of scalp EEG that is ultimately expressed in terms of columnar states of neocortical processing of attention and short-term memory. date: 1999 date_type: published refereed: TRUE citation: Ingber, Lester (1999) Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory. [Preprint] document_url: http://cogprints.org/89/2/smni00_eeg_stm.ps