Multivariate pattern analysis (MVPA) or brain decoding methods have become standard
practice in analyzing fMRI data. Although decoding methods have been extensively applied …

Patterns of brain activity contain meaningful information about the perceived world. Recent
decades have welcomed a new era in neural analyses, with computational techniques from …

Understanding object representations requires a broad, comprehensive sampling of the
objects in our visual world with dense measurements of brain activity and behavior. Here …

INTRODUCTION Tool use is a hallmark of human evolution. Beyond its sensorimotor
components, the complexity of which has been extensively investigated, tool use affects …

MVPA-Light is a MATLAB toolbox for multivariate pattern analysis (MVPA). It provides native
implementations of a range of classifiers and regression models, using modern optimization …

The human brain is specialized for face processing, yet we sometimes perceive illusory
faces in objects. It is unknown whether these natural errors of face detection originate from a …

A significant body of research in cognitive neuroscience is aimed at understanding how
object concepts are represented in the human brain. However, it remains unknown whether …

Inherent correlations between visual and semantic features in real-world scenes make it
difficult to determine how different scene properties contribute to neural representations …

The searchlight technique is a variant of multivariate pattern analysis (MVPA) that examines
neural activity across large sets of small regions, exhaustively covering the whole brain. This …

Scenes strongly facilitate object recognition, such as when we make out the shape of a
distant boat on the water. Yet, although known to interact in perception, neuroimaging …