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 …

The vertebrate retina first evolved some 500 million years ago in ancestral marine
chordates. Since then, the eyes of different species have been tuned to best support their …

Neuro-inspired vision systems hold great promise to address the growing demands of mass
data processing for edge computing, a distributed framework that brings computation and …

Retinal circuits transform the pixel representation of photoreceptors into the feature
representations of ganglion cells, whose axons transmit these representations to the brain …

As machine vision technology generates large amounts of data from sensors, it requires
efficient computational systems for visual cognitive processing. Recently, in-sensor …

For autonomous driving, one of the major challenges is to predict pedestrian crossing
intention in ego-view. Pedestrian intention depends not only on their intrinsic goals but also …

Predators use vision to hunt, and hunting success is one of evolution's main selection
pressures. However, how viewing strategies and visual systems are adapted to predation is …

Supported by recent computational studies, there is increasing evidence that a wide range
of neuronal responses can be understood as an emergent property of nonnegative sparse …

Pressures for survival make sensory circuits adapted to a species' natural habitat and its
behavioral challenges. Thus, to advance our understanding of the visual system, it is …

An ultimate goal in retina science is to understand how the neural circuit of the retina
processes natural visual scenes. Yet most studies in laboratories have long been performed …