Journal Article

Using artificial neural networks to ask ‘why’questions of minds and brains
Neuroscientists have long characterized the properties and functions of the nervous system, and are increasingly succeeding in …
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Using artificial neural networks to ask ‘why’questions of minds and brains
A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition
Prior work has identified cortical regions selectively responsive to specific categories of visual stimuli. However, this …
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A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition
Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network
Task-based and resting-state represent the two most common experimental paradigms of functional neuroimaging. While resting-state …
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NeuroGen: Activation optimized image synthesis for discovery neuroscience
Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual cortex responses to stimuli, yet such …
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Cortical response to naturalistic stimuli is largely predictable with deep neural networks
Naturalistic stimuli, such as movies, activate a substantial portion of the human brain, invoking a response shared across individuals. …
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Cortical response to naturalistic stimuli is largely predictable with deep neural networks
Machine learning in resting-state fMRI analysis
Machine learning techniques have gained prominence for the analysis of resting-state functional Magnetic Resonance Imaging (rs-fMRI) …
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Machine learning in resting-state fMRI analysis
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction
The specificty and sensitivity of resting state functional MRI (rs-fMRI) measurements depend on preprocessing choices, such as the …
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