Interactions between feedback and lateral connections in the primary visual cortex
Perceptual grouping of line segments into object contours has been thought to be mediated,
in part, by long-range horizontal connectivity intrinsic to the primary visual cortex (V1), with a …
in part, by long-range horizontal connectivity intrinsic to the primary visual cortex (V1), with a …
The causality analysis of incipient fault in industrial processes using dynamic data stream transfer entropy
C Qi, Y Shi, J Li, H Li - Journal of Process Control, 2023 - Elsevier
The propagation of the developing incipient fault embeds potential risks to the safety
management of industrial processes. The transfer entropy (TE) based causality analysis …
management of industrial processes. The transfer entropy (TE) based causality analysis …
Time-varying nonlinear causality detection using regularized orthogonal least squares and multi-wavelets with applications to EEG
A new transient Granger causality detection method is proposed based on a time-varying
parametric modeling framework, and is applied to the real EEG signals to reveal the causal …
parametric modeling framework, and is applied to the real EEG signals to reveal the causal …
Estimation of effective fronto-parietal connectivity during motor imagery using partial granger causality analysis
Connectivity analysis has become an essential tool for the evaluation of functional brain
dynamics. The functional connectivity between different parts of the brain, or between …
dynamics. The functional connectivity between different parts of the brain, or between …
Inferring gene regulatory networks via ensemble path consistency algorithm based on conditional mutual information
J Xu, G Yang, G Liu, H Liu - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
Utilizing gene expression data to infer gene regulatory networks has received great attention
because gene regulation networks can reveal complex life phenomena by studying the …
because gene regulation networks can reveal complex life phenomena by studying the …
Spike-field Granger causality for hybrid neural data analysis
Neurotechnological innovations allow for simultaneous recording at various scales, ranging
from spiking activity of individual neurons to large neural populations' local field potentials …
from spiking activity of individual neurons to large neural populations' local field potentials …
Efficient Estimation of Directed Connectivity in Nonlinear and Nonstationary Spiking Neuron Networks
W Chen, Y Wang, Y Yang - IEEE Transactions on Biomedical …, 2023 - ieeexplore.ieee.org
Objective: Studying directed connectivity within spiking neuron networks can help
understand neural mechanisms. Existing methods assume linear time-invariant neural …
understand neural mechanisms. Existing methods assume linear time-invariant neural …
多元时间序列因果关系分析研究综述
任伟杰， 韩敏 - 自动化学报, 2021 - aas.net.cn
多元时间序列的因果关系分析是数据挖掘领域的研究热点. 时间序列数据包含着与时间动态有关
的, 未知的, 有价值的信息, 因此若能挖掘出这些知识进而对时间序列未来趋势进行预测或干预 …
的, 未知的, 有价值的信息, 因此若能挖掘出这些知识进而对时间序列未来趋势进行预测或干预 …
Time-frequency-domain copula-based Granger causality and application to corticomuscular coupling in stroke
Q She, H Zheng, T Tan, B Zhang, Y Fan… - International Journal of …, 2019 - World Scientific
The corticomuscular coupling (CMC) characterization between the motor cortex and
muscles during motion control is a valid biomarker of motor system function after stroke …
muscles during motion control is a valid biomarker of motor system function after stroke …
Application of EEG time-varying networks in the evaluation of dynamic functional brain networks
The variability that occurs in spontaneous network communication has brought about
increased attention in the area of study that is centered on analytical approaches and …
increased attention in the area of study that is centered on analytical approaches and …