The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

Spatial normalization of brains to a standardized space is a widely used approach for group
studies in functional magnetic resonance imaging (fMRI) data. Commonly used template …

Correction of echo planar imaging (EPI)-induced distortions (called “unwarping”) improves
anatomical fidelity for diffusion magnetic resonance imaging (MRI) and functional imaging …

Functional magnetic resonance imaging (fMRI) is a standard tool to investigate the neural
correlates of cognition. fMRI noninvasively measures brain activity, allowing identification of …

Abstract We present the Amsterdam Open MRI Collection (AOMIC): three datasets with
multimodal (3 T) MRI data including structural (T1-weighted), diffusion-weighted, and …

One of the most controversial procedures in the analysis of resting-state functional magnetic
resonance imaging (rsfMRI) data is global signal regression (GSR): the removal, via linear …

One of the most common distinctions in long-term memory is that between semantic (ie,
general world knowledge) and episodic (ie, recollection of contextually specific events from …

A standard assumption in neuroscience is that low-effort model-free learning is automatic
and continuously used, whereas more complex model-based strategies are only used when …

The retinal ganglion cells (RGCs) receive different combinations of L, M, and S cone inputs
and give rise to one achromatic and two chromatic postreceptoral channels. The goal of the …

According to the facial feedback hypothesis, when we see an angry or happy face, we
contract or flex the relevant muscles to recreate the expression to assist in identifying and …