The Complex Behaviour of a Simple Neural Oscillator Model in the Human Cortex
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F19%3A43917903" target="_blank" >RIV/60461373:22340/19:43917903 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/19:00339280 RIV/00216208:11150/19:10393909 RIV/00179906:_____/19:10393909
Result on the web
<a href="https://ieeexplore.ieee.org/document/8550724" target="_blank" >https://ieeexplore.ieee.org/document/8550724</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TNSRE.2018.2883618" target="_blank" >10.1109/TNSRE.2018.2883618</a>
Alternative languages
Result language
angličtina
Original language name
The Complex Behaviour of a Simple Neural Oscillator Model in the Human Cortex
Original language description
The brain is a complex organ responsible for memory storage and reasoning; however, the mechanisms underlying these processes remain unknown. This paper forms a contribution to a lot of theoretical studies devoted to regular or chaotic oscillations of interconnected neurons assuming that the smallest information unit in the brain is not a neuron but, instead, a coupling of inhibitory and excitatory neurons forming a simple oscillator. Several coefficients of variation for peak intervals and correlation coefficients for peak interval histograms are evaluated and the sensitivity of such oscillator units is tested to changes in initial membrane potentials, interconnection signal delays, and changes in synaptic weights based on known histologically verified neuron couplings. Results present only a low dependence of oscillation patterns to changes in initial membrane potentials or interconnection signal delays in comparison to a strong sensitivity to changes in synaptic weights showing the stability and robustness of encoded oscillating patterns to signal outages or remoteness of interconnected neurons. Presented simulations prove that the selected neuronal couplings are able to produce a variety of different behavioural patterns, with periodicity ranging frommilliseconds to thousandsofmillisecondsbetween the spikes. Many detected different intrinsic frequencies then support the idea of possibly large informational capacity of such memory units.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE transactions on neural systems and rehabilitation engineering
ISSN
1534-4320
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
337-347
UT code for WoS article
000462435300002
EID of the result in the Scopus database
2-s2.0-85057886827