3 Result(s)
within
Conference Paper
Lydia Bazzano
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Chapter and Conference Paper
Joint Estimation of Neural Events and Hemodynamic Response Functions from Task fMRI via Convolutional Neural Networks
Joint decomposition of functional magnetic resonance imaging (fMRI) time series into time courses of neural activity events and hemodynamic response functions (HRF) can enable new insights into functional conn...
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Chapter and Conference Paper
Nonlinear Conditional Time-Varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels
Time-varying Granger causality refers to patterns of causal relationships that vary over time between brain functional time series at distinct source and target regions. It provides rich information about the ...
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Chapter and Conference Paper
Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data
Conditional Granger causality, based on functional magnetic resonance imaging (fMRI) time series signals, is the quantification of how strongly brain activity in a certain source brain region contributes to br...
