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Nerves look blue in the reconstructed view of a genetically engineered mouse (left) whose neurons produce a fluorescent ...
Here, we address this question further by combining large-scale electrophysiological recordings, to characterize the functional connectivity of developing neuronal networks in vitro, with a generative ...
Network models articles from across Nature Portfolio Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of ...
Unlike other deep learning (DL) models, Transformer has the ability to extract long-range dependency features from hyperspectral image (HSI) data. Masked autoencoder (MAE), which is based on ...
Recently, neural network model-based control has received wide interests in kinematics control of manipulators. To enhance learning ability of neural network models, the autoencoder method is used as ...
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