Neuronal population codes are increasingly being investigated with multivariate pattern-
information analyses. A key challenge is to use measured brain-activity patterns to test …

Perceptual and cognitive content is thought to be represented in the brain by patterns of
activity across populations of neurons. In order to test whether a computational model can …

Representational models specify how activity patterns in populations of neurons (or, more
generally, in multivariate brain-activity measurements) relate to sensory stimuli, motor …

A fundamental challenge for systems neuroscience is to quantitatively relate its three major
branches of research: brain-activity measurement, behavioral measurement, and …

In recent years there has been growing interest in multivariate analyses of neuroimaging
data, which can be used to detect distributed patterns of activity that encode an experimental …

Representational similarity analysis (RSA) is a multivariate method that can be used to
extract information about distributed patterns of representations across the brain. It is related …

In this study, we present a new method for establishing fMRI pattern-based functional
connectivity between brain regions by estimating their multivariate mutual information …

We advocate a shift in emphasis within cognitive neuroscience from multivariate pattern
analysis (MVPA) to the design and testing of explicit models of neural representation. With …

This chapter deals with the experimental design and analysis of functional brain imaging
studies. It considers the neurobiological motivations for different designs and describes …

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