[HTML][HTML] Multi-scale neural decoding and analysis
Objective. Complex spatiotemporal neural activity encodes rich information related to
behavior and cognition. Conventional research has focused on neural activity acquired …
behavior and cognition. Conventional research has focused on neural activity acquired …
Modeling multiscale causal interactions between spiking and field potential signals during behavior
C Wang, B Pesaran, MM Shanechi - Journal of neural …, 2022 - iopscience.iop.org
Objective. Brain recordings exhibit dynamics at multiple spatiotemporal scales, which are
measured with spike trains and larger-scale field potential signals. To study neural …
measured with spike trains and larger-scale field potential signals. To study neural …
Novelty-induced frontal–STN networks in Parkinson's disease
Novelty detection is a primitive subcomponent of cognitive control that can be deficient in
Parkinson's disease (PD) patients. Here, we studied the corticostriatal mechanisms …
Parkinson's disease (PD) patients. Here, we studied the corticostriatal mechanisms …
[HTML][HTML] Deciphering Authentic Nociceptive Thalamic Responses in Rats
The thalamus and its cortical connections play a pivotal role in pain information processing,
yet the exploration of its electrophysiological responses to nociceptive stimuli has been …
yet the exploration of its electrophysiological responses to nociceptive stimuli has been …
[HTML][HTML] Measurable fields-to-spike causality and its dependence on cortical layer and area
Distinct dynamics in different cortical layers are apparent in neuronal and local field potential
(LFP) patterns, yet their associations in the context of laminar processing have been …
(LFP) patterns, yet their associations in the context of laminar processing have been …
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 …
Root cause diagnosis of plant wide oscillations based fuzzy kernel granger causality
X Li, J Wang, H Shao, Y Yao… - 2021 IEEE 10th Data …, 2021 - ieeexplore.ieee.org
Plant-wide oscillations are common phenomenon in large-scale industrial processes, which
once generated in one unit and can spread along flows in the whole plant, then cause …
once generated in one unit and can spread along flows in the whole plant, then cause …
HETEROGENEOUS MULTISCALE MULTIVARIATE AUTOREGRESSIVE MODEL: EXISTENCE, SPARSE ESTIMATION AND APPLICATION TO FUNCTIONAL …
S Stefano, G Gabrielle, B Ingrid, RB Patricia - Annals of Statistics, 2023 - hal.science
In neuroscience, functional connectivity can be seen as a graph of interactions between
brain oscillations rhythms and individual neuronal activity. This graph is associated with a …
brain oscillations rhythms and individual neuronal activity. This graph is associated with a …
Distinct attentional profile and functional connectivity of neurons with visual feature coding in the primate brain
Visual attention and object recognition are two critical cognitive functions that significantly
influence our perception of the world. While these neural processes converge on the …
influence our perception of the world. While these neural processes converge on the …
[HTML][HTML] 传递熵算法研究进展及其应用
天翔李, 双燕李 - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi …, 2022 - ncbi.nlm.nih.gov
近年来, 从神经网络层面探索脑功能整合的相关生理病理机制已经成为神经科学领域研究关注
的焦点之一。 由于神经信号具有非平稳和非线性的特性, 其线性特征不足以充分解释复杂脑 …
的焦点之一。 由于神经信号具有非平稳和非线性的特性, 其线性特征不足以充分解释复杂脑 …