Human fMRI signals exhibit a spatial patterning that contains detailed information about a
person's mental states. Using classifiers it is possible to access this information and study …

Multivariate decoding methods were developed originally as tools to enable accurate
predictions in real-world applications. The realization that these methods can also be …

Human neuroimaging research has transitioned from map** local effects to develo**
predictive models of mental events that integrate information distributed across multiple …

Multivariate pattern analysis (MVPA) has emerged as a powerful method for the analysis of
functional magnetic resonance imaging, electroencephalography and …

Considerable information about mental states can be decoded from noninvasive measures
of human brain activity. Analyses of brain activity patterns can reveal what a person is …

Forging new memories for facts and events, holding critical details in mind on a moment-to-
moment basis, and retrieving knowledge in the service of current goals all depend on a …

Functional magnetic resonance imaging (fMRI) exploits blood‐oxygen‐level‐dependent
(BOLD) contrasts to map neural activity associated with a variety of brain functions including …

Motor-skill learning can be accompanied by both increases and decreases in brain activity.
Increases may indicate neural recruitment, while decreases may imply that a region became …

Interaction with everyday objects requires the representation of conceptual object properties,
such as where and how an object is used. What are the neural mechanisms that support this …

The ability to measure functional brain responses non-invasively with ultra high field MRI (7
T and above) represents a unique opportunity in advancing our understanding of the human …