Visual object understanding includes processes at the nexus of visual perception and visual
cognition. A traditional approach separates questions that are more associated with …

To go beyond qualitative models of the biological substrate of object recognition, we ask:
can a single ventral stream neuronal linking hypothesis quantitatively account for core object …

We propose a theory of structure learning in the primate brain. We argue that the parietal
cortex is critical for learning about relations among the objects and categories that populate …

The principles driving the organization of the ventral object-processing stream remain
unknown. Here, we show that stimulus-specific repetition suppression (RS) in one region of …

Since its introduction, multivariate pattern analysis (MVPA), or 'neural decoding', has
transformed the field of cognitive neuroscience. Underlying its influence is a crucial …

A biologically detailed computational model is described of how categorization judgments
become automatic in tasks that depend on procedural learning. The model assumes 2 …

We describe a quantitative theory to account for the computations performed by the
feedforward path of the ventral stream of visual cortex and the local circuits implementing …

Neuroimaging research over the past decade has revealed a detailed picture of the
functional organization of the human brain. Here we focus on two fundamental questions …

Summary fMRI-based adaptation paradigms (fMR-A) have been used to infer neuronal
stimulus selectivities in humans. Inferring neuronal selectivities from fMR-A, however …

Here we investigated the impact of visual discrimination training on neuronal responses to
parts of images and to whole images in inferotemporal (IT) cortex. Monkeys were trained to …