Ten popular spike sorting codes are reproducibly benchmarked for accuracy on electrophysiology datasets from eleven laboratories with interactive web-based exploration of thousands of ground-truth units.
A new deep-learning software toolkit with general-purpose methods for quickly and reliably measuring the full body posture of animals directly from images or videos without physical markers.
A dual-channel image registration pipeline combined with deep-learning inference achieves accurate-and-flexible registration/segmentation/mapping of mouse brain.
Quantitative analysis of behavior coupled with computational modeling reveal the set of circuit-level principles that underlie cerebellar-dependent motor learning in smooth pursuit eye movements of monkeys across timescales.
The integration of a novel high spatiotemporal resolution volume imaging technique and a fast 3D tracking system allows capturing whole brain neural activities in a freely behaving larval zebrafish.
Detailed analysis of fMRI data shows that sequences of movements are associated with individual patterns of neural activity that become more distinct with training.
Dorsomedial and dorsolateral striatal neural activity differ during early learning of action sequences but do not change with performance improvement across sessions, and become similar after extended training.
anTraX is an algorithm and software package that facilitates automated analyses of insect social behavior in species and experimental settings that are not accessible with currently existing technology.
