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Drosophila larvae manipulated by an automated system can be observed for 30+ hr, and new analysis methods of long-timescale trajectories reveal behavioral features previously inaccessible, such as a bimodal distribution of thermal navigation efficiency in individual animals.

Task controllability manipulations reveal that information seeking is associated with reduced confidence and active hypothesis testing, as well as stronger neurophysiological correlates of attention and arousal.

Eye movements time-locked to retrieval and novelty during learning preferentially occur at distinct phases of hippocampal theta.

Animals work in a world full of surprises, where using energy to position sensors proportional to the location's expected information avoids the pitfalls of positioning them at the information maxima.

Deep brain stimulation (DBS) exhibit that the excitability of the basal ganglia can govern the trade off between exploiting available resources or exploring alternative courses of action.

A compendium of critical genomic numbers for viruses through the lenses of different viral classification systems.

FlyBrainLab is an open-source computing platform that integrates 3D exploration and visualization of diverse Drosophila connectomic/synaptomic datasets with interactive exploration of the functional logic of modeled executable brain circuits.

A microfluidic device induces doxorubicin-resistant polyaneuploid cancer cells from triple negative breast cancer cells, revealing NUPR1/HDAC11 axis dysfunction drives chemoresistance, increasing tumor heterogeneity and impacting clinical outcomes.

Mice exploring a labyrinth freely for the first time learn a complex action sequence after a handful of rewards, exhibiting a learning rate 1000-fold higher than in commonly-used paradigms.

Unsupervised machine learning on the ultrastructure and shape of cells in volume electron microscopy yields a compact representation of cellular morphology that complements genetics-based cell type characterisation.