The superiority of deeply learned representations relies on large-scale labeled datasets. However, annotating data are usually expensive or even infeasible in some scenarios. To address this problem, ...

After just a week of life, however, the same ferret's brain activity shifts. They observed stable neural patterns linked to representations of visual stimuli.

To address this key open question, we examined when neural representations to different visual categories emerge during infancy using EEG in infants of four age groups spanning 3–15 months of age. We ...

Researchers at Neuro-Electronics Research Flanders (NERF), led by Prof. Vincent Bonin, have published two new studies uncovering how visual information is processed and distributed in the brain.

Reconstructing visual stimulus representation is a significant task in neural decoding. Until now, most studies have considered functional magnetic resonance imaging (fMRI) as the signal source.

High-level visual cortex and leading neural network models of the visual system retain information about multiple visual scene variables in independent, non-interfering dimensions of their population ...

Visual representation learning enables computers or systems to simulate the function of retinas, optic nerves, and visual cortex in the human brain, and derive meaningful information from digital ...