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05/18/2023
Learning low-dimensional dynamics from whole-brain data improves task capture
The neural dynamics underlying brain activity are critical to understand...
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10/07/2022
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs
Communication within or between complex systems is commonplace in the na...
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09/07/2022
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
Recent neuroimaging studies that focus on predicting brain disorders via...
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05/26/2022
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data
Functional magnetic resonance imaging (fMRI) data contain complex spatio...
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08/29/2021
Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures
We propose to apply non-linear representation learning to voxelwise rs-f...
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05/03/2021
Fusing multimodal neuroimaging data with a variational autoencoder
Neuroimaging studies often involve the collection of multiple data modal...
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03/29/2021
