Single-trial EEG emotion recognition using Granger Causality/Transfer Entropy analysis
Background Emotion recognition has been studied for decades, but the classification
accuracy needs to be improved. New method In this study, a novel emotional classification …
accuracy needs to be improved. New method In this study, a novel emotional classification …
Forecasting COD load in municipal sewage based on ARMA and VAR algorithms
Due to different sources and the water using habits, the influent COD of municipal sewage
fluctuates sharply over time. To ensure the treatment quality of sewage, the wastewater …
fluctuates sharply over time. To ensure the treatment quality of sewage, the wastewater …
A survey on brain effective connectivity network learning
Human brain effective connectivity characterizes the causal effects of neural activities
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …
NCREANN: Nonlinear causal relationship estimation by artificial neural network; applied for autism connectivity study
N Talebi, AM Nasrabadi… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Quantifying causal (effective) interactions between different brain regions are very important
in neuroscience research. Many conventional methods estimate effective connectivity based …
in neuroscience research. Many conventional methods estimate effective connectivity based …
Allergic rhinitis impairs working memory in association with drop of hippocampal–Prefrontal coupling
Allergic rhinitis (AR) is a chronic inflammatory disease frequently associated with a deficit in
learning and memory. Working memory is an important system for decision making and …
learning and memory. Working memory is an important system for decision making and …
Amortization Transformer for Brain Effective Connectivity Estimation from fMRI Data
Using machine learning methods to estimate brain effective connectivity networks from
functional magnetic resonance imaging (fMRI) data has garnered significant attention in the …
functional magnetic resonance imaging (fMRI) data has garnered significant attention in the …
The olfactory bulb modulates entorhinal cortex oscillations during spatial working memory
Cognitive functions such as working memory require integrated activity among different
brain regions. Notably, entorhinal cortex (EC) activity is associated with the successful …
brain regions. Notably, entorhinal cortex (EC) activity is associated with the successful …
A self-organized recurrent neural network for estimating the effective connectivity and its application to EEG data
Z Abbasvandi, AM Nasrabadi - Computers in biology and medicine, 2019 - Elsevier
Objective Effective connectivity is an important notion in neuroscience research, useful for
detecting the interactions between regions of the brain. New method Since we are dealing …
detecting the interactions between regions of the brain. New method Since we are dealing …
Kernel granger causality based on back propagation neural network fuzzy inference system on fMRI data
Granger causality (GC) is one of the most popular measures to investigate causality
influence among brain regions and has been achieved significant results for exploring brain …
influence among brain regions and has been achieved significant results for exploring brain …
Allergen induces depression-like behavior in association with altered prefrontal-hippocampal circuit in male rats
Allergic asthma is a common chronic inflammatory condition associated with psychiatric
comorbidities. Notably depression, correlated with adverse outcomes in asthmatic patients …
comorbidities. Notably depression, correlated with adverse outcomes in asthmatic patients …