Visual system articles from across Nature Portfolio

BARseq interrogates the expression of 104 cell-type marker genes in 10.3 million cells over nine mouse forebrain hemispheres to reveal the role of peripheral inputs on cortical area development.

The neural mechanisms underpinning visual illusions remains poorly understood. Here, the authors recorded the neural responses of mouse primary visual cortex to illusory grating and found delayed responses to illusory brightness, showing that optogenetic inhibition of higher visual areas reduced V1 response to illusions but not to real gratings.

This study, utilizing deep learning to model semantic saturation, shows its tie to repetitive visual stimuli processing by the primary visual cortex, suggesting a bottom-up neurocognitive process.

In this Article, Ma et al. show, across a series of experiments, that time and memorability (the probability of recalling a visual stimulus) mutually influence one another, suggesting that time is a feature of visual processing that is intrinsic to perceptual experience.

Recent work has demonstrated important parallels between human visual representations and those found in deep neural networks. A new study comparing functional MRI data to deep neural network models highlights factors that may determine this similarity.