Shape is a defining feature of objects, and human observers can effortlessly compare
shapes to determine how similar they are. Yet, to date, no image-computable model can …

We examined the neural response patterns for facial identity independent of viewpoint and
for viewpoint independent of identity. Neural activation patterns for identity and viewpoint …

Four decades of studies in visual attention and visual working memory used visual features
such as colors, orientations, and shapes. The layout of their featural space is clearly …

Previous studies have revealed regions in human visual cortex with a strong preference for
faces, headless bodies, and buildings. We investigated whether the pattern of activity in …

Visual shape perception is central to many everyday tasks, from object recognition to
grasping and handling tools. 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 Yet how shape is encoded in the …

Primates can learn to categorize complex shapes, but as yet it is unclear how this
categorization learning affects the representation of shape in visual cortex. Previous studies …

One aspect of human vision unmatched by machines is the capacity to generalize from few
samples. Observers tend to know when novel objects are in the same class despite large …

Kernel methods are among the most successful tools in machine learning and are used in
challenging data analysis problems in many disciplines. Here we provide examples where …

Visual shape recognition—the ability to recognize a wide variety of shapes regardless of
their size, position, view, clutter and ambient lighting—is a remarkable ability essential for …

Extensive research suggests that the inferior temporal (IT) population supports visual object
recognition behavior. However, causal evidence for this hypothesis has been equivocal …