Convolutional neural networks (CNNs) were inspired by early findings in the study of
biological vision. They have since become successful tools in computer vision and state-of …

Objects are the core meaningful elements in our visual environment. Classic theories of
object vision focus upon object recognition and are elegant and simple. Some of their …

The human visual ability to recognize objects and scenes is widely thought to rely on
representations in category-selective regions of the visual cortex. These representations …

Anterior regions of the ventral visual stream encode substantial information about object
categories. Are top-down category-level forces critical for arriving at this representation, or …

Deep neural networks (DNNs) trained on object recognition provide the best current models
of high-level visual cortex. What remains unclear is how strongly experimental choices, such …

Recognizing others' social interactions is a crucial human ability. Using simple stimuli,
previous studies have shown that social interactions are selectively processed in the …

Security has always been a significant concern since the dawn of human civilization. That is
why we build houses to keep ourselves and our belongings safe. And we do not hesitate to …

Face cells are neurons that respond more to faces than to non-face objects. They are found
in clusters in the inferotemporal cortex, thought to process faces specifically, and, hence …

To interact with real-world objects, any effective visual system must jointly code the unique
features defining each object. Despite decades of neuroscience research, we still lack a firm …

The extrastriatal visual cortex is known to exhibit distinct response profiles to complex stimuli
of varying ecological importance (eg faces, scenes, and tools). Although food is primarily …