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

Representational similarity analysis of activation patterns has become an increasingly
important tool for studying brain representations. The dissimilarity between two patterns is …

The multivariate analysis of brain signals has recently sparked a great amount of interest, yet
accessible and versatile tools to carry out decoding analyses are scarce. Here we introduce …

The hippocampus is proposed to be critical in distinguishing between similar experiences by
performing pattern separation computations that create orthogonalized representations for …

Multivariate pattern analysis (MVPA) methods such as decoding and representational
similarity analysis (RSA) are growing rapidly in popularity for the analysis of …

Although it is well accepted that the speech motor system (SMS) is activated during speech
perception, the functional role of this activation remains unclear. Here we test the hypothesis …

We used MEG and EEG to examine the effects of Plausibility (anomalous vs. plausible) and
Animacy (animate vs. inanimate) on activity to incoming words during language …

We investigated how aging affects the neural specificity of mental replay, the act of conjuring
up past experiences in one's mind. We used functional magnetic resonance imaging (fMRI) …

Viewpoint-invariant face recognition is thought to be subserved by a distributed network of
occipitotemporal face-selective areas that, except for the human anterior temporal lobe …

This study examined how the brain dynamically updates event representations by
integrating new information over multiple minutes while segregating irrelevant input. A …