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Beneficial randomness of signals in a neuronal circuit

Authorized Users Only
2002
Authors
Milošević, S.
Blesić, Suzana
Stratimirović, Đorđe
Article (Published version)
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Abstract
We have analyzed spontaneous discharge dynamics of fasimotor neurons, by applying the so-called detrended fluctuation analysis, which is a modification of the random walk model analysis. Besides, we applied the wavelet analysis method to the same problem. By using these methods we have found evidence for the white noise characteristics of the time series generated by the neuron discharges. We concluded that such a discharge. dynamics represents the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination. of muscle spindles. This finding appears to be very intriguing; since it provided for the first time statistical characterization of the neuronal noise.
Keywords:
random time series / fusimotor neuron / white noise / stochastic resonance
Source:
Physica A-Statistical Mechanics & its Applications, 2002, 314, 1-4, 43-52
Publisher:
  • Elsevier, Amsterdam

DOI: 10.1016/S0378-4371(02)01184-6

ISSN: 0378-4371

WoS: 000179502800006

Scopus: 2-s2.0-0036936018
[ Google Scholar ]
6
6
URI
https://smile.stomf.bg.ac.rs/handle/123456789/1136
Collections
  • Radovi istraživača
Institution/Community
Stomatološki fakultet
TY  - JOUR
AU  - Milošević, S.
AU  - Blesić, Suzana
AU  - Stratimirović, Đorđe
PY  - 2002
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1136
AB  - We have analyzed spontaneous discharge dynamics of fasimotor neurons, by applying the so-called detrended fluctuation analysis, which is a modification of the random walk model analysis. Besides, we applied the wavelet analysis method to the same problem. By using these methods we have found evidence for the white noise characteristics of the time series generated by the neuron discharges. We concluded that such a discharge. dynamics represents the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination. of muscle spindles. This finding appears to be very intriguing; since it provided for the first time statistical characterization of the neuronal noise.
PB  - Elsevier, Amsterdam
T2  - Physica A-Statistical Mechanics & its Applications
T1  - Beneficial randomness of signals in a neuronal circuit
VL  - 314
IS  - 1-4
SP  - 43
EP  - 52
DO  - 10.1016/S0378-4371(02)01184-6
ER  - 
@article{
author = "Milošević, S. and Blesić, Suzana and Stratimirović, Đorđe",
year = "2002",
abstract = "We have analyzed spontaneous discharge dynamics of fasimotor neurons, by applying the so-called detrended fluctuation analysis, which is a modification of the random walk model analysis. Besides, we applied the wavelet analysis method to the same problem. By using these methods we have found evidence for the white noise characteristics of the time series generated by the neuron discharges. We concluded that such a discharge. dynamics represents the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination. of muscle spindles. This finding appears to be very intriguing; since it provided for the first time statistical characterization of the neuronal noise.",
publisher = "Elsevier, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Beneficial randomness of signals in a neuronal circuit",
volume = "314",
number = "1-4",
pages = "43-52",
doi = "10.1016/S0378-4371(02)01184-6"
}
Milošević, S., Blesić, S.,& Stratimirović, Đ.. (2002). Beneficial randomness of signals in a neuronal circuit. in Physica A-Statistical Mechanics & its Applications
Elsevier, Amsterdam., 314(1-4), 43-52.
https://doi.org/10.1016/S0378-4371(02)01184-6
Milošević S, Blesić S, Stratimirović Đ. Beneficial randomness of signals in a neuronal circuit. in Physica A-Statistical Mechanics & its Applications. 2002;314(1-4):43-52.
doi:10.1016/S0378-4371(02)01184-6 .
Milošević, S., Blesić, Suzana, Stratimirović, Đorđe, "Beneficial randomness of signals in a neuronal circuit" in Physica A-Statistical Mechanics & its Applications, 314, no. 1-4 (2002):43-52,
https://doi.org/10.1016/S0378-4371(02)01184-6 . .

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