Understanding how the brain supports flexible, goal-directed behavior is a central aim of neuroscience. Yet such behavior is highly variable and unfolds over long timescales, making it challenging to ...

An imaging system developed to record cellular activity throughout the whole body of zebrafish captures cellular organ dynamics and identifies multiple distributed circuits.

Rapid learning, memory, and generalization are often attributed to circuits of the neocortex and hippocampus, but their specific role remains unclear. To examine these cognitive abilities together in ...

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The 3rd call is now open with a submission deadline on 9 November 2026 17:00 (CET).

Reflecting on a decade of neuroscience advancements

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Discovery AI Initiative and Departments of Biochemistry and Cell Biology, Integrative Immunobiology, Neurobiology, and Pharmacology & Cancer Biology

Convolutional Neural Networks (CNNs) trained for image recognition have demonstrated remarkable conceptual similarities to the primate ventral visual pathway, but their standard feedforward architectu...

Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture conditions and limi...

A modular toolkit for synchronized multimodal data acquisition in systems neuroscience. Animal behavio. Read full protocol, steps, and materials on protocols.io