Identification of Nonlinear Oscillatory Activity Embedded in Broadband Neural Signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00341917" target="_blank" >RIV/67985807:_____/10:00341917 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Identification of Nonlinear Oscillatory Activity Embedded in Broadband Neural Signals
Original language description
Neural signals typically have a broadband character and the origin of potential embedded oscillatory activity is unclear. The paper proposes a method of extraction of oscillatory activity and its testing for nonlinear phenomena. If nonlinear phenomena are identified, then methods based on the theory of nonlinear dynamical systems may be applied, otherwise methods based in linear theory are sufficient and recommended.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FH - Neurology, neuro-surgery, nuero-sciences
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7E08027" target="_blank" >7E08027: Large scale interactions in brain networks and their breakdown in brain diseases</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Neural Systems
ISSN
0129-0657
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
2
Country of publishing house
SG - SINGAPORE
Number of pages
12
Pages from-to
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UT code for WoS article
000276967600003
EID of the result in the Scopus database
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