Conference Paper

Characterizing the ventral visual stream with response-optimized neural encoding models
Decades of experimental research based on simple, abstract stimuli has revealed the coding principles of the ventral visual processing …
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Neural encoding with visual attention
Visual perception is critically influenced by the focus of attention. Due to limited resources, it is well known that neural …
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A shared neural encoding model for the prediction of subject-specific fMRI response
The increasing popularity of naturalistic paradigms in fMRI (such as movie watching) demands novel strategies for multi-subject data …
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From connectomic to task-evoked fingerprints: Individualized prediction of task contrasts from resting-state functional connectivity
Resting-state functional MRI (rsfMRI) yields functional connectomes that can serve as cognitive fingerprints of individuals. …
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3D convolutional neural networks for classification of functional connectomes
Resting-state functional MRI (rs-fMRI) scans hold the potential to serve as a diagnostic or prognostic tool for a wide variety of …
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Detecting abnormalities in resting-state dynamics: An unsupervised learning approach
Resting-state functional MRI (rs-fMRI) is a rich imaging modality that captures spontaneous brain activity patterns, revealing clues …
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