Beneficial randomness of signals in a neuronal circuit
Само за регистроване кориснике
2002
Чланак у часопису (Објављена верзија)

Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
random time series / fusimotor neuron / white noise / stochastic resonanceИзвор:
Physica A-Statistical Mechanics & its Applications, 2002, 314, 1-4, 43-52Издавач:
- Elsevier, Amsterdam
DOI: 10.1016/S0378-4371(02)01184-6
ISSN: 0378-4371
WoS: 000179502800006
Scopus: 2-s2.0-0036936018
Колекције
Институција/група
Stomatološki fakultetTY - 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 . .