How the brain learns and applies rules: Sequential neuronal dynamics in the prefrontal cortex

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
IEEE

Neural Successive Cancellation Decoder for Polar Codes Using Analog in-Memory Computing with Memristors

Abstract: We consider the use of polar codes in edge computing and communications applications, and to achieve energy efficiency, we propose implementation of neural network-based decoders for them ...
Frontiers

Correction: Short-time photovoltaic output prediction method based on depthwise separable convolution Visual Geometry group- deep gate recurrent neural network

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
EurekAlert!

“Virtual scientists” could soon unlock new frontiers of research

Engineers at Duke University have constructed a group of AI bots that together can solve complex design problems nearly as well as a fully trained scientist. The results, the researchers say, show how ...
GitHub

MS-GEB/DeepDendrite-modularization

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) ...
IEEE

Self-Denoising of BOTDA Using Deep Convolutional Neural Networks

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 ...