Biology-inspired brain model matches animal learning and reveals overlooked neuron activity

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
IEEE

Trends and Challenges in Computing-in-Memory for Neural Network Model: A Review From Device Design to Application-Side Optimization

Abstract: Neural network models have been widely used in various fields as the main way to solve problems in the current artificial intelligence (AI) field. Efficient execution of neural network ...
Frontiers

Systematic review and meta-analysis of neurofeedback training efficacy and neural mechanisms in the treatment of posttraumatic stress disorder

Introduction: Neurofeedback in the treatment of psychological disorders has gained increasingly widespread interest in recent years. As the use of neurofeedback training expands, it is important to ...
IEEE

Comprehensive Design Space Exploration for Graph Neural Network Aggregation on GPUs

Abstract: Graph neural networks (GNNs) have become the state-of-the-art technology for extracting and predicting data representations on graphs. With increasing demand to accelerate GNN computations, ...