HOUSE_OVERSIGHT_013733.jpg

1.96 MB

Extraction Summary

12
People
1
Organizations
1
Locations
0
Events
3
Relationships
2
Quotes

Document Information

Type: Scientific/academic paper page (house oversight committee production)
File Size: 1.96 MB
Summary

This document is page 233 of a scientific text discussing computational neuroscience, specifically scaling exponents, chaos theory, and EEG studies. It appears to be part of a document production to the House Oversight Committee (Bates stamp HOUSE_OVERSIGHT_013733), likely related to investigations into Jeffrey Epstein's funding of scientific research. The text cites various researchers including Mandell (likely Arnold Mandell), discussing technical concepts like 'strange nonchaotic attractors' and physiological responses to high altitude.

People (12)

Name Role Context
Smith Researcher/Author
Cited in text (1988) regarding empirical scaling exponents.
Eckmann Researcher/Author
Cited in text (1992) regarding empirical scaling exponents.
Ruelle Researcher/Author
Cited in text (1992) regarding empirical scaling exponents.
Casdagli Researcher/Author
Cited in text (1997) regarding nonlinearity concepts.
Segundo Researcher/Author
Cited in text (1998) regarding spiking neuron systems.
Theiler Researcher/Author
Cited in text (1996) regarding EEG studies.
Rapp Researcher/Author
Cited in text (1996) regarding EEG studies.
Prichard Researcher/Author
Cited in text (1996) regarding EEG studies.
Grebogi Researcher/Author
Cited in text (1984) regarding strange nonchaotic attractors.
Mandell Researcher/Author
Cited in text (1993) regarding strange nonchaotic attractors. Likely Arnold Mandell, a scientist associated with Epst...
Selz Researcher/Author
Cited in text (1993) regarding strange nonchaotic attractors.
Yamamoto Researcher/Author
Cited in text (1993) regarding cardiac interbeat intervals.

Organizations (1)

Name Type Context
House Oversight Committee
Implied by the Bates stamp 'HOUSE_OVERSIGHT' at the bottom of the page.

Locations (1)

Location Context
Mentioned in the context of a study on high altitude oxygen concentrations.

Relationships (3)

Mandell Co-authors Selz
Cited together as (Mandell and Selz, 1993)
Theiler Co-authors Rapp
Cited together as (Theiler and Rapp, 1996)
Eckmann Co-authors Ruelle
Cited together as (Eckmann and Ruelle, 1992)

Key Quotes (2)

"We discuss below the possibility that the failure to find chaos in the more recent EEG studies... may be because the EEG attractor is better characterized as a 'strange nonchaotic atttractor'"
Source
HOUSE_OVERSIGHT_013733.jpg
Quote #1
"The relatively subtle influence of high altitude (Mt. Everest) oxygen concentrations was not seen in the central moments of the cardiac interbeat intervals, but the D2 of the attactor was reduced significantly"
Source
HOUSE_OVERSIGHT_013733.jpg
Quote #2

Full Extracted Text

Complete text extracted from the document (2,388 characters)

most relevantly by their computational procedures and what are computed are empirical scaling exponents describing real observables as limited by the precision of the observations, their resolution and series lengths (Smith, 1988; Eckmann and Ruelle, 1992). The "correlation integral," the probability that two vectors chosen at random from the phase space reconstruction lie within "r" distance of each other, not unrelated to the phase randomization controlled, D2 measure, yields statements about amount of "nonlinearity" (not accountable by the linear regressively capturable component of the power spectrum), which are also difficult to translate into experimentally or theoretically useful concepts (Casdagli et al, 1997). These efforts contrast with a more direct attempt to establish a spiking neuron system’s dynamical "dimension" using trial and error prediction in which "dimension" was defined as the number of potentially physiologically relevant variables required to make the predictive equations fit (Segundo et al, 1998).
Computations of scaling exponent descriptors of orbital point distributions on reconstructed attractors of the brain sciences have proven to be most useful as atheoretical, empirical techniques discriminating experimental, clinical and/or treatment conditions with various approaches to statistical significance. In this regard, one can say that D2 is often found to be superior to central tendency oriented statistics in making these discriminations. Dimension and correlation integral descriptors appear least useful when dealing with global issues such as chaos, randomness, linearity and the "underlying dimensions" of (unknown) differential equations. We discuss below the possibility that the failure to find chaos in the more recent EEG studies (Theiler and Rapp, 1996; Prichard et al, 1996) may be because the EEG attractor is better characterized as a "strange nonchaotic atttractor" with orbital patterns manifesting fractional scaling exponents but no λ(+) (Grebogi et al, 1984; Mandell and Selz, 1993).
The relatively subtle influence of high altitude (Mt. Everest) oxygen concentrations was not seen in the central moments of the cardiac interbeat intervals, but the D2 of the attactor was reduced significantly (Yamamoto et al, 1993). The latencies and amplitudes of the visual evoked potential failed to
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