---
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.'
altloc:
- http://www.ingber.com/smni00_eeg_stm.ps.gz
chapter: ~
commentary: ~
commref: 'Toward a Quantitative Description of Large-Scale Neo-Cortical Dynamic Function and EEG, by P.L. Nunez'
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creators_id: []
creators_name:
- family: Ingber
given: Lester
honourific: ''
lineage: ''
date: 1999
date_type: published
datestamp: 1999-06-15
department: ~
dir: disk0/00/00/00/89
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eprint_status: archive
eprintid: 89
fileinfo: /style/images/fileicons/application_postscript.png;/89/2/smni00_eeg_stm.ps
full_text_status: public
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item_issues_count: 0
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keywords: EEG; short term memory; nonlinear; statistical
lastmod: 2011-03-11 08:53:39
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metadata_visibility: show
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reportno: ~
rev_number: 10
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status_changed: 2007-09-12 16:22:59
subjects:
- comp-neuro-sci
- comp-sci-stat-model
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title: 'Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory'
type: preprint
userid: 73
volume: ~