Visual object recognition is one of the most fundamental and challenging research topics in
the field of computer vision. The research on the neural mechanism of the primates' …

The idea that visual coding and perception are shaped by experience and adjust to changes
in the environment or the observer is universally recognized as a cornerstone of visual …

Cortical representations of brief, static stimuli become more invariant to identity-preserving
transformations along the ventral stream. Likewise, increased invariance along the visual …

In natural vision, primates actively move their eyes several times per second via saccades. It
remains unclear whether, during this active looking, visual neurons exhibit classical …

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 …

Color constancy is our ability to perceive constant colors across varying illuminations. Here,
we trained deep neural networks to be color constant and evaluated their performance with …

Humans can quickly recognize objects in a dynamically changing world. This ability is
showcased by the fact that observers succeed at recognizing objects in rapidly changing …

Neural circuits in the periphery of the visual, auditory, and olfactory systems are believed to
use limited resources efficiently to represent sensory information by adapting to the …

Deep convolutional neural networks (CNNs) resemble the hierarchically organised neural
representations in the primate visual ventral stream. However, these models typically …

In recent years, neuroscience has made significant progress in building large-scale artificial
neural network (ANN) models of brain activity and behavior. However, there is no consensus …