The Complex Behaviour of a Simple Neural Oscillator Model in the Human Cortex

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21730/19:00339280 RIV/00216208:11150/19:10393909 RIV/00179906:_____/19:10393909

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The Complex Behaviour of a Simple Neural Oscillator Model in the Human Cortex

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The Complex Behaviour of a Simple Neural Oscillator Model in the Human Cortex

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE transactions on neural systems and rehabilitation engineering

ISSN

1534-4320

e-ISSN

—

Svazek periodika

27

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

337-347

Kód UT WoS článku

000462435300002

EID výsledku v databázi Scopus

2-s2.0-85057886827