Quantifying Non-Stationarity with Information Theory [PDF]
Entropy, 2021 We introduce an index based on information theory to quantify the stationarity of a stochastic process. The index compares on the one hand the information contained in the increment at the time scale τ of the process at time t with, on the other hand ...
Carlos Granero-Belinchón +2 more
doaj +10 more sources
External drivers of BOLD signal’s non-stationarity [PDF]
PLoS ONE, 2022 A fundamental challenge in neuroscience is to uncover the principles governing how the brain interacts with the external environment. However, assumptions about external stimuli fundamentally constrain current computational models. We show in silico that
Arian Ashourvan +5 more
doaj +8 more sources
Non-Stationarity in Multisensory Neurons in the Superior Colliculus [PDF]
Frontiers in Psychology, 2011 The superior colliculus (SC) integrates information from multiple sensory modalities to facilitate the detection and localization of salient events. The efficacy of multisensory integration is traditionally measured by comparing the magnitude of the ...
Thomas J Perrault +2 more
doaj +6 more sources
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies. [PDF]
J R Stat Soc Ser C Appl Stat, 2022 The use of digital devices to collect data in mobile health studies introduces a novel application of time series methods, with the constraint of potential data missing at random or missing not at random (MNAR).
Fowler C +4 more
europepmc +5 more sources
Learning to Optimize under Non-Stationarity [PDF]
SSRN Electronic Journal, 2019 We introduce algorithms that achieve state-of-the-art \emph{dynamic regret} bounds for non-stationary linear stochastic bandit setting. It captures natural applications such as dynamic pricing and ads allocation in a changing environment. We show how the
Cheung, Wang Chi +2 more
core +5 more sources
Riemannian Channel Selection for BCI With Between-Session Non-Stationarity Reduction Capabilities [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Objective: Between-session non-stationarity is a major challenge of current Brain-Computer Interfaces (BCIs) that affects system performance. In this paper, we investigate the use of channel selection for reducing between-session non-stationarity with ...
Khadijeh Sadatnejad, Fabien Lotte
doaj +3 more sources
The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models. [PDF]
Sensors (Basel), 2021 EEG-based deep learning models have trended toward models that are designed to perform classification on any individual (cross-participant models).
Kamrud A +2 more
europepmc +2 more sources
Correcting for Non-stationarity in BOLD-fMRI Connectivity Analyses [PDF]
Frontiers in Neuroscience, 2021 In this work fMRI BOLD datasets are shown to contain slice-dependent non-stationarities. A model containing slice-dependent, non-stationary signal power is proposed to address time-varying signal power during BOLD data acquisition.
Catherine E. Davey +4 more
doaj +2 more sources
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study [PDF]
Frontiers in Computational Neuroscience, 2023 IntroductionIntracortical Brain-Computer Interfaces (iBCI) establish a new pathway to restore motor functions in individuals with paralysis by interfacing directly with the brain to translate movement intention into action.
Zijun Wan +11 more
doaj +2 more sources
Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control [PDF]
PeerJ Computer Science, 2021 In reinforcement learning (RL), dealing with non-stationarity is a challenging issue. However, some domains such as traffic optimization are inherently non-stationary. Causes for and effects of this are manifold.
Lucas N. Alegre +2 more
doaj +3 more sources