Complexins (Cplxs) are small synaptic proteins that cooperate with SNARE-complexes in the control of synaptic vesicle (SV) fusion. Studies involving genetic mutation, knock-down, or knock-out indicated two key functions of Cplx that are not mutually exclusive but cannot easily be reconciled, one in facilitating SV fusion, and one in "clamping" SVs to prevent premature fusion. Most studies on th...

Neurotransmitter release from synaptic vesicle fusion is the fundamental mechanism for neuronal communication at synapses. Evoked release following an action potential has been well characterized for its function in activating the postsynaptic cell, but the significance of spontaneous release is less clear. Using transgenic tools to image single synaptic vesicle fusion events at individual rele...

For the two-stream style methods in action recognition, fusing the two streams’ predictions is always by the weighted averaging scheme. This fusion method with fixed weights lacks of pertinence to different action videos and always needs trial and error on the validation set. In order to enhance the adaptability of two-stream ConvNets and improve its performance, an end-to-end trainable gated f...

Mitochondria are highly-dynamic organelles, but it is challenging to monitor quantitatively their dynamics in a living cell. Here we developed a novel approach to determine the global occurrence of mitochondrial fission and fusion events in living human epithelial cells (Hela) and mouse embryonic fibroblast cells (MEF). Distinct patterns of sequential events including fusion followed by fission...

In occlusion and interaction scenarios, human action recognition (HAR) accuracy is low. To address this issue, paper proposes a novel multi-modal fusion framework for HAR. framework, module called improved attention long short-term memory (IAL) proposed, which combines the SE-ResNet50 (ISE-ResNet50) with (LSTM). IAL can extract video sequence features skeleton of behaviour. improve performance ...

Action assessment and feedback can effectively assist fitness practitioners in improving exercise benefits. In this paper, we address key challenges human action recognition by proposing innovative methods that enhance performance while reducing computational complexity. Firstly, present Oct-MobileNet, a lightweight backbone network, to overcome the limitations of traditional OpenPose algorithm...