Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ondrej Pokora"'
Autor:
Ondrej Pokora, Lubomir Kostal
Publikováno v:
Entropy, Vol 14, Iss 7, Pp 1221-1233 (2012)
We address the problem of non-parametric estimation of the recently proposed measures of statistical dispersion of positive continuous random variables. The measures are based on the concepts of differential entropy and Fisher information and describ
Externí odkaz:
https://doaj.org/article/5b9950909bd5487b9e9de9941c59ad73
Publikováno v:
PLoS ONE, Vol 6, Iss 7, p e21998 (2011)
During the stationary part of neuronal spiking response, the stimulus can be encoded in the firing rate, but also in the statistical structure of the interspike intervals. We propose and discuss two information-based measures of statistical dispersio
Externí odkaz:
https://doaj.org/article/7439ffd4bb524cc4a5c45b333d249dce
Publikováno v:
Biosystems. 136:113-119
Tinnitus is one of the leading disorders of hearing with no effective cure as its pathophysiological mechanisms remain unclear. While the sensitivity to sound is well-known to be affected, exactly how intensity coding per se is altered remains unclea
Autor:
Ondrej Pokora, Stevan Pilarski
Publikováno v:
Biosystems. 136:11-22
Neuronal systems exhibit impressive capabilities in decision making and action coordination by employing the encoded information about both external and internal environments. Despite the tremendous effort of neuroscientists, the exact nature of the
Publikováno v:
Information Sciences. 235:214-223
We propose and discuss two information-based measures of statistical dispersion of positive continuous random variables: the entropy-based dispersion and Fisher information-based dispersion. Although standard deviation is the most frequently employed
Autor:
Petr Lansky, Ondrej Pokora
Publikováno v:
Journal of Neuroscience Methods. 211:191-202
Neuronal activity of several neurons is commonly recorded by a single electrode and then the individual spike trains are separated. If the separation is difficult or fails, then as a minimal result of the experiment, the individual firing rates are o
Autor:
Lubomir Kostal, Ondrej Pokora
Publikováno v:
Entropy, Vol 14, Iss 7, Pp 1221-1233 (2012)
Entropy; Volume 14; Issue 7; Pages: 1221-1233
Entropy; Volume 14; Issue 7; Pages: 1221-1233
We address the problem of non-parametric estimation of the recently proposed measures of statistical dispersion of positive continuous random variables. The measures are based on the concepts of differential entropy and Fisher information and describ
Autor:
Lubomir Kostal, Ondrej Pokora
Publikováno v:
BMC Neuroscience
We address the problem of non-parametric estimation of the probability density function as a description of the probability distribution of noncorrelated interspike intervals (ISI) in records of neuronal activity. We also continue our previous effort
Autor:
Ondrej Pokora, Lubomir Kostal
Publikováno v:
BMC Neuroscience
We address the problem of non-parametric estimation of the recently proposed measures of statistical dispersion of positive continuous random variables. The measures are based on the concepts of differential entropy and Fisher information and describ
Publikováno v:
BMC Neuroscience, Vol 12, Iss Suppl 1, p P255 (2011)
BMC Neuroscience
BMC Neuroscience
We propose and discuss two information-based measures of statistical dispersion suitable to description of interspike interval data. The measures are compared with the standard deviation. Although the standard deviation is used routinely, we show tha