To learn how cognition is implemented in the brain, we must build computational models
that can perform cognitive tasks, and test such models with brain and behavioral …

The cognitive concept of representation plays a key role in theories of brain information
processing. However, linking neuronal activity to representational content and cognitive …

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

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

Since the original characterization of the ventral visual pathway, our knowledge of its
neuroanatomy, functional properties, and extrinsic targets has grown considerably. Here we …

People are embedded in social interaction that shapes their brains throughout lifetime.
Instead of emerging from lower-level cognitive functions, social interaction could be the …

Face perception relies on computations carried out in face-selective cortical areas. These
areas have been intensively investigated for two decades, and this work has been guided by …

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

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

Within a fraction of a second of viewing a face, we have already determined its gender, age
and identity. A full understanding of this remarkable feat will require a characterization of the …