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

Functional neuroimaging emerged with great promise and has provided fundamental
insights into the neurobiology of schizophrenia. However, it has faced challenges and …

Our capacity to jointly represent information about the world underpins our social
experience. By leveraging one individual's brain activity to model another's, we can measure …

Studies have demonstrated that the clinical manifestations of Alzheimer's disease (AD) are
associated with abnormal connections in either functional connectivity networks (FCNs) or …

Representational similarity analysis (RSA) is a computational technique that uses pairwise
comparisons of stimuli to reveal their representation in higher-order space. In the context of …

The human prefrontal cortex contains two prominent areas, the frontal eye field and the
inferior frontal junction, that are crucially involved in the orchestrating functions of attention …

Functional connectivity (FC) is conventionally defined by measuring the similarity between
brain signals from two regions. The technique has become widely adopted in the analysis of …

The flexible retrieval of knowledge is critical in everyday situations involving problem
solving, reasoning and social interaction. Current theories emphasise the importance of a …

Although distinctive neural and physiological states are suggested to underlie the six basic
emotions, basic emotions are often indistinguishable from functional magnetic resonance …

Understanding neurocognitive computations will require not just localizing cognitive
information distributed throughout the brain but also determining how that information got …