Human-like color categories emerge in a Deep Neural Network trained only on object recognition.

Many V1 double-opponent cells integrate light information across their receptive fields as linearly as simple cells do.

Biomedical doctoral students and those from historically excluded groups exhibit higher rates of mental distress, which worsened in 2020 for some populations.

Bilateral removal of cortical area 'TE' produced deficits in monkeys' ability to discriminate among images with many similar features, whereas removal of subjacent rhinal cortex did not.

Incidental experiences can lead to lasting category knowledge, demonstrating that humans forage for information to acquire and consolidate new knowledge even when learning is not strictly necessary for success on an ongoing task.

The motor-relevant properties of the myriad objects with which we interact on a daily basis are encoded in memory using categorical representations, or 'object families'.

Pigmentation that confers protective function of RPE is not underlaid by a specific gene expression profile, reviled by microscopic imaging together with single-cell RNA sequencing.

Single neuron images of Drosophila driver lines reveal neuron shape and are searchable, enabling comparisons to electron microscopy and prediction of intersectional neuron targeting strategies.

Enhanced hippocampal-cortical network communication during memory retrieval flexibly tracks the quality and content of memories for complex past events.

Approximately 13% of figures in biology-related research articles are difficult for people with red/green colorblindness to decipher, but machine-learning models can help to identify these.