Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …

Convolutional neural networks (CNNs) are increasingly used to model human vision due to
their high object categorization capabilities and general correspondence with human brain …

Ungerleider and Mishkin, in their influential work that relied on detailed anatomical and
ablation studies, suggested that visual information is processed along two distinct pathways …

To interact with objects in complex environments, we must know what they are and where
they are in spite of challenging viewing conditions. Here, we investigated where, how and …

Optoelectronic memristors, which possess the potential capacities of in‐sensor computing,
promote the development of highly efficient neuromorphic vision. In this work, a novel …

Recently, a considerable number of studies in computer vision involve deep neural
architectures called vision transformers. Visual processing in these models incorporates …

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 key to adaptive visual processing lies in the ability to maintain goal-directed visual
representation in the face of distraction. In visual working memory (VWM), distraction may …

Facial repetition suppression, a well-studied phenomenon characterized by decreased
neural responses to repeated faces in visual cortices, remains a subject of ongoing debate …

Gestalt psychologists have identified a range of conditions in which humans organize
elements of a scene into a group or whole, and perceptual grouping principles play an …