Journal article
Complexity measures in molecular psychiatry
Molecular psychiatry, v 1(5), pp 408-416
01 Nov 1996
PMID: 9154236
Abstract
The most frequently used measures in behavioral research are distribution-determined measures that provide a quantitative determination of the relative frequency of a specified behavior. These measures are, however, insensitive to the sequence of behaviors. Complexity measures address this deficiency. Several sequence-sensitive measures including the topological entropy, metric entropy, algorithmic complexity and stochastic model complexity will be described. Several applications to psychiatric research will also be discussed. These applications include the characterization of changes in animal behavior in response to CNS-active drugs and the analysis of single-unit interspike interval spike trains. Clinical applications include the analysis of electromyographic and electroencephalographic signals, the examination of choice task behavior in clinical populations, and protocol analysis.
Metrics
9 Record Views
Details
- Title
- Complexity measures in molecular psychiatry
- Creators
- P E RappT Schmah
- Publication Details
- Molecular psychiatry, v 1(5), pp 408-416
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:A1996VV91100016
- Scopus ID
- 2-s2.0-0030275488
- Other Identifier
- 991019330802204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Biochemistry & Molecular Biology
- Neurosciences
- Psychiatry