In this work, series of action potentials recorded in vivo from spontaneously active neurons in an invertebrate experimental model are analysed, using the high-order statistics framework. The high-order correlations of these time series were estimated and compared with the high-order correlations of other signals, such as the output of (non)linear prediction-error filters and (high-order) iid white noise. Our experimental results provide the basis,for the analysis of spontaneous activity as a kind of "white noise" or a (non)linear prediction process.
Source:
Analysis of Biomedical Signals & Images, Proceedings, 2002, 162-164
TY - CONF
AU - Destro, JB
AU - Blesić, Suzana
AU - Peixoto, N
PY - 2002
UR - http://rimi.imi.bg.ac.rs/handle/123456789/72
AB - In this work, series of action potentials recorded in vivo from spontaneously active neurons in an invertebrate experimental model are analysed, using the high-order statistics framework. The high-order correlations of these time series were estimated and compared with the high-order correlations of other signals, such as the output of (non)linear prediction-error filters and (high-order) iid white noise. Our experimental results provide the basis,for the analysis of spontaneous activity as a kind of "white noise" or a (non)linear prediction process.
PB - Brno Univ Technology Vut Press, Brno
C3 - Analysis of Biomedical Signals & Images, Proceedings
T1 - High-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activity
EP - 164
SP - 162
UR - conv_1434
ER -
@conference{
author = "Destro, JB and Blesić, Suzana and Peixoto, N",
year = "2002",
abstract = "In this work, series of action potentials recorded in vivo from spontaneously active neurons in an invertebrate experimental model are analysed, using the high-order statistics framework. The high-order correlations of these time series were estimated and compared with the high-order correlations of other signals, such as the output of (non)linear prediction-error filters and (high-order) iid white noise. Our experimental results provide the basis,for the analysis of spontaneous activity as a kind of "white noise" or a (non)linear prediction process.",
publisher = "Brno Univ Technology Vut Press, Brno",
journal = "Analysis of Biomedical Signals & Images, Proceedings",
title = "High-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activity",
pages = "164-162",
url = "conv_1434"
}
Destro, J., Blesić, S.,& Peixoto, N.. (2002). High-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activity. in Analysis of Biomedical Signals & Images, Proceedings
Brno Univ Technology Vut Press, Brno., 162-164.
conv_1434
Destro J, Blesić S, Peixoto N. High-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activity. in Analysis of Biomedical Signals & Images, Proceedings. 2002;:162-164.
conv_1434 .
Destro, JB, Blesić, Suzana, Peixoto, N, "High-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activity" in Analysis of Biomedical Signals & Images, Proceedings (2002):162-164,
conv_1434 .
