Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory
| dc.creator | Ingber, Lester | |
| dc.date | 2000-01-23 | |
| dc.date.accessioned | 2026-07-07T05:43:43Z | |
| dc.date.available | 2026-07-07T05:43:43Z | |
| dc.description | 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. | |
| dc.description | 5 PostScript pages | |
| dc.identifier | https://arxiv.org/abs/physics/0001050 | |
| dc.identifier | http://arxiv.org/abs/physics/0001050 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/83364 | |
| dc.subject | Biological Physics | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | Quantitative Biology | |
| dc.title | Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory | |
| dc.type | text |