Beneficial randomness of signals in a neuronal circuit
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 resonanceSource:
Physica A-Statistical Mechanics & its Applications, 2002, 314, 1-4, 43-52Publisher:
- Elsevier, Amsterdam
DOI: 10.1016/S0378-4371(02)01184-6
ISSN: 0378-4371
WoS: 000179502800006
Scopus: 2-s2.0-0036936018
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Institution/Community
Institut za medicinska istraživanjaTY - JOUR AU - Milošević, S AU - Blesić, Suzana AU - Stratimirović, D PY - 2002 UR - http://rimi.imi.bg.ac.rs/handle/123456789/71 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 EP - 52 IS - 1-4 SP - 43 VL - 314 DO - 10.1016/S0378-4371(02)01184-6 UR - conv_1441 ER -
@article{ author = "Milošević, S and Blesić, Suzana and Stratimirović, D", 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", pages = "52-43", number = "1-4", volume = "314", doi = "10.1016/S0378-4371(02)01184-6", url = "conv_1441" }
Milošević, S., Blesić, S.,& Stratimirović, D.. (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 conv_1441
Milošević S, Blesić S, Stratimirović D. 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 conv_1441 .
Milošević, S, Blesić, Suzana, Stratimirović, D, "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 ., conv_1441 .