The algorithmic complexity of multichannel EEGs is sensitive to changes in behavior-Reference-Cited by-同舟云学术

The algorithmic complexity of multichannel EEGs is sensitive to changes in behavior

Published:2003-01 Issue:1 Volume:40 Page:77-97
ISSN:0048-5772
Container-title:Psychophysiology
language:en
Short-container-title:Psychophysiology

Author:

Watanabe T. A. A.¹,Cellucci C. J.²,Kohegyi E³,Bashore T. R.⁴,Josiassen R. C.⁵,Greenbaun N. N.⁶,Rapp P. E.¹

Affiliation:

1. Drexel University, College of Medicine, Philadelphia, Pennsylvania and The Arthur P. Noyes Research Foundation, Norristown State Hospital, Pennsylvania, USA

2. The Arthur P. Noyes Research Foundation, Norristown State Hospital, Pennsylvania, USA and Ursinus College, Collegeville, Pennsylvania, USA

3. The Arthur P. Noyes Research Foundation, Norristown State Hospital, Pennsylvania, USA

4. University of Northern Colorado, Greeley, USA

5. University of Pennsylvania, Philadelphia, USA and The Arthur P. Noyes Research Foundation, Norristown State Hospital, Pennsylvania, USA

6. The College of New Jersey, Trenton, New Jersey, USA

Publisher

Wiley

Subject

Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology,Biological Psychiatry,Cognitive Neuroscience,Developmental Neuroscience,Endocrine and Autonomic Systems,Neurology,Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1469-8986.00009

Reference187 articles.

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2. The analysis of observed chaotic data in physical systems

3. All-night sleep EEG and artificial stochastic control signals have similar correlation dimensions

4. Low-dimensional chaos in an instance of epilepsy.

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