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

Object recognition is the ability to identify an object or category based on the combination of
visual features observed. It is a remarkable feat of the human brain, given that the patterns of …

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 …

Human fMRI studies have documented extensively that the content of visual working
memory (VWM) can be reliably decoded from fMRI voxel response patterns during the delay …

Recent work has highlighted the role of early visual areas in visual working memory (VWM)
storage and put forward a sensory storage account of VWM. Using a distractor interference …

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 …

Despite decades of research, our understanding of the relationship between color and form
processing in the primate ventral visual pathway remains incomplete. Using fMRI multivoxel …

Humans can label and categorize objects in a visual scene with high accuracy and speed, a
capacity well characterized with studies using static images. However, motion is another cue …

Convolutional neural networks (CNNs) have achieved very high object categorization
performance recently. It has increasingly become a common practice in human fMRI …

Recent experimental and theoretical work has shown that nonlinear mixed selectivity, where
neurons exhibit interaction effects in their tuning to multiple variables (eg, stimulus and task) …