This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

This useful study employs optogenetics, genetically-encoded dopamine and serotonin sensors, and patch-clamp electrophysiology to investigate modulations of neurotransmitter release between striatal ...

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As pretrained text-to-image diffusion models become in-creasingly powerful, recent efforts have been made to distill knowledge from these text-to-image pretrained models for optimizing a text-guided ...

Guidance for assemblable parts is a promising field for augmented reality. Augmented reality assembly guidance requires 6D object poses of target objects in real time. Especially in time-critical ...

DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...

Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation Installation Our experimental environment is follow ULIP2 to establish, the code is tested ...