about
Estimation of drift and diffusion functions from time series data: a maximum likelihood framework.Disentangling the stochastic behavior of complex time series.Modeling the genetic basis for human sleep disorders in Drosophila.Nonstationary Stochastic Dynamics Underlie Spontaneous Transitions between Active and Inactive Behavioral States.Physics of brain dynamics: Fokker-Planck analysis reveals changes in EEG delta and theta activity during anaesthesia.Epilepsy and nonlinear dynamics.Measuring interdependences in dissipative dynamical systems with estimated Fokker-Planck coefficients.Minimum memory for generating rare events.Modeling the cardiovascular system using a nonlinear additive autoregressive model with exogenous input.Unbiased estimation of Langevin dynamics from time series with application to hippocampal field potentials in vitro.Detrended fluctuation analysis of the Ornstein-Uhlenbeck process: Stationarity versus nonstationarity.Combined use of multiple computational intracranial EEG analysis techniques for the localization of epileptogenic zones in Lennox-Gastaut syndrome.Markov properties in presence of measurement noise.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Stochastic qualifiers of epileptic brain dynamics.
@en
Stochastic qualifiers of epileptic brain dynamics.
@nl
type
label
Stochastic qualifiers of epileptic brain dynamics.
@en
Stochastic qualifiers of epileptic brain dynamics.
@nl
prefLabel
Stochastic qualifiers of epileptic brain dynamics.
@en
Stochastic qualifiers of epileptic brain dynamics.
@nl
P2860
P1476
Stochastic qualifiers of epileptic brain dynamics.
@en
P2093
Jens Prusseit
Klaus Lehnertz
P2860
P304
P356
10.1103/PHYSREVLETT.98.138103
P407
P577
2007-03-28T00:00:00Z