Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
Abstract: Traditional convolutional neural network (CNN) in the process of fault diagnosis feature extraction, the information transfer between the layers of the information loss problem, for this ...
Code associated with the paper "Gan He, Tiejun Huang and Kai Du, (2025). Going deeper with morphologically detailed neural networks by error-backpropagating mirror neuron" (soon on biorxiv when ready) ...
Abstract: We propose the self-denoising network (SDNet), a self-supervised network based on a convolutional neural network (CNN), for Brillouin trace denoising. With the target noisy image as the only ...