Lukas Snoek

This study shows that both human visual cortex and deep convolutional neural networks prioritize object background over category in object recognition tasks.

This paper tests if deep residual networks (ResNets) can capture recurrent processing in the human brain using EEG data from a visual masking task, finding deeper networks better explain brain activity.

The paper introduces the Amsterdam Open MRI Collection, a multimodal MRI dataset with structural and functional data from healthy participants, available for individual difference analyses.

The paper shows that choosing negative stimuli activates reward circuitry similar to extrinsic incentives and curiosity, contrasting with positive stimuli choices.

This study used fMRI to examine if religiosity affects cognitive conflict processing, finding no significant relationship between religiosity and conflict sensitivity measures.

This paper evaluates counterbalancing and confound regression for controlling confounds in decoding analyses and finds that foldwise confound regression is the only effective method.

Porcupine is a visual tool that creates reproducible neuroimaging analysis pipelines by generating code and Docker environments, improving transparency and shareability.