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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 ...
This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...
Network attached storage is the most versatile way to store data, but that's just one of the many benefits of buying a NAS device. We've tested the top models: See which will work best for your ...
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 ...
Working from home by day, gaming and streaming by night? Defeating Wi-Fi dead zones is more important than ever. A mesh network system can help, and these are the best we've tested.
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 ...
Hajjouz, S. and Avksentieva, N. (2022) Autoencoder-Based Anomaly Detection for IoT DDoS Attack Identification. Journal of Network Security, 24, 512-525.