[HTML][HTML] A generative model of whole-brain effective connectivity
The development of whole-brain models that can infer effective (directed) connection
strengths from fMRI data represents a central challenge for computational neuroimaging. A …
strengths from fMRI data represents a central challenge for computational neuroimaging. A …
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 …
Exploring brain effective connectivity networks through spatiotemporal graph convolutional models
Learning brain effective connectivity networks (ECN) from functional magnetic resonance
imaging (fMRI) data has gained much attention in recent years. With the successful …
imaging (fMRI) data has gained much attention in recent years. With the successful …
Estimating effective connectivity by recurrent generative adversarial networks
Estimating effective connectivity from functional magnetic resonance imaging (fMRI) time
series data has become a very hot topic in neuroinformatics and brain informatics. However …
series data has become a very hot topic in neuroinformatics and brain informatics. However …
End-to-end neural system identification with neural information flow
Neural information flow (NIF) provides a novel approach for system identification in
neuroscience. It models the neural computations in multiple brain regions and can be …
neuroscience. It models the neural computations in multiple brain regions and can be …
MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation
Using machine learning methods to estimate brain effective connectivity networks from
functional magnetic resonance imaging (fMRI) data has gradually become one of the hot …
functional magnetic resonance imaging (fMRI) data has gradually become one of the hot …
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 …
Statistical model-based approaches for functional connectivity analysis of neuroimaging data
NJ Foti, EB Fox - Current opinion in neurobiology, 2019 - Elsevier
Highlights•Frames the literature on functional connectivity in terms of statistical
models.•Differentiates between directed versus undirected and static versus dynamic.•Broad …
models.•Differentiates between directed versus undirected and static versus dynamic.•Broad …
Learning brain effective connectivity networks via controllable variational autoencoder
A Zou, J Ji - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Learning brain effective connectivity networks (ECNs) by means of deep learning methods
from functional magnetic resonance imaging (fMRI) data is a novel study hot in …
from functional magnetic resonance imaging (fMRI) data is a novel study hot in …
基于功能磁共振成像的人脑效应连接网络识别方法综述
冀俊忠， 邹爱笑， 刘金铎 - 自动化学报, 2021 - aas.net.cn
人脑效应连接网络刻画了脑区间神经活动的因果效应. 对不同人群的脑效应连接网络进行研究
不仅能为神经精神疾病病理机制的理解提供新视角, 而且能为疾病的早期诊断和治疗评价提供新 …
不仅能为神经精神疾病病理机制的理解提供新视角, 而且能为疾病的早期诊断和治疗评价提供新 …