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Vicente et al., 2011 - Google Patents

Transfer entropy—a model-free measure of effective connectivity for the neurosciences

Vicente et al., 2011

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Document ID
14449448532476072668
Author
Vicente R
Wibral M
Lindner M
Pipa G
Publication year
Publication venue
Journal of computational neuroscience

External Links

Snippet

Understanding causal relationships, or effective connectivity, between parts of the brain is of utmost importance because a large part of the brain's activity is thought to be internally generated and, hence, quantifying stimulus response relationships alone does not fully …
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Classifications

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    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
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    • A61B5/7235—Details of waveform analysis
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    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
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    • G—PHYSICS
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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • A—HUMAN NECESSITIES
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    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
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