---
abstract: The statistical mechanics of neocortical interactions (SMNI) approach derives a theoretical model for aggregated neuronal activity that defines the "dipole" assumed by many EEG researchers. This defines a nonlinear stochastic filter to extract EEG signals.
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  - http://www.ingber.com/smni96_eeg.ps.gz
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creators_name:
  - family: Ingber
    given: Lester
    honourific: ''
    lineage: ''
date: 1996
date_type: published
datestamp: 1999-06-15
department: ~
dir: disk0/00/00/00/93
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editors_id: []
editors_name:
  - family: Vincent
    given: R.M. Dasheiff and D.J.
    honourific: ''
    lineage: ''
eprint_status: archive
eprintid: 93
fileinfo: /style/images/fileicons/application_postscript.png;/93/2/smni96_eeg.ps
full_text_status: public
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keywords: EEG; Statistical Mechanics; Nonlinear
lastmod: 2011-03-11 08:53:39
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metadata_visibility: show
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number: ~
pagerange: 79-112
pubdom: FALSE
publication: 'Frontier Science in EEG: Continuous Waveform Analysis'
publisher: Elsevier
refereed: FALSE
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rev_number: 10
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status_changed: 2007-09-12 16:23:04
subjects:
  - comp-neuro-sci
  - comp-sci-stat-model
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title: 'Statistical mechanics of neocortical interactions: Multiple scales of EEG'
type: bookchapter
userid: 73
volume: ~
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