Neural Engineering

Neural engineering is an interdisciplinary field that merges principles of engineering and neuroscience to develop technologies aimed at interfacing with the nervous system. It encompasses the design and creation of devices and systems that can restore, enhance, or replace neural functions, facilitating communication between biological and artificial systems. Through innovative research and development, neural engineering aims to improve clinical outcomes for neurological disorders and enhance human capabilities.

Latest Publications & Patents on Neural Networks

This week: semantic segmentation, convolutional neural networks, local-variation attention, biomedical image analysis, Convolutional Neural Networks, Cognitive Diagnosis Model, Smart Education, Attention Mechanism, Plastic Litter Detection, Hyperspectral Aerial Remote Sensing, Machine Learning, Environmental Monitoring, Optical/SAR Data Fusion, Machine Learning, Aboveground Biomass, Carbon Sequestration, Machine Learning, Near-Infrared Spectroscopy, Polypropylene, Recycling, Deep Learning Methods, Wind Turbine Distribution, China, Geospatial Dataset, efficiency, growth phenotype, benthic fish, device, Fluid flow simulation, neural network, aerodynamic performance, computational fluid dynamics