eLife

Compressed sensing-based approach identifies modular neural circuitry driving learned pathogen avoidance

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.
News-Medical.Net

Chronic brain compression triggers neuron death through multiple pathways

Published in the Proceedings of the National Academy of Sciences, their study found that chronic compression triggers neuron death by a variety of mechanisms, both directly and indirectly. The ...
Frontiers

A new framework with convoluted oscillatory neural network for efficient object-based land use and land cover classification on remote sensing images

School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...
IEEE

Super-Field-of-View for Defect Inspection on Large-Sized Transparent Materials With Bernoulli Compressed Sensing and Neural Networks

Abstract: Large-sized transparent materials are key structural members of many devices, and any tiny defects are serious safety hazards. Automatic optical inspection (AOI) is the popular method for ...
Frontiers

Spiking neural networks for EEG signal analysis using wavelet transform

Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...
McKnight's Senior Living

Bill asks FTC to review collection, use of ‘neural data’ via wearables, other devices

A proposed federal bill aims to ensure that the brain-related data collected by wearables and other devices is safeguarded to protect individuals’ privacy, prevent exploitation and build public trust ...
Scientific Research Publishing

Safari, M., Eidex, Z., Chang, C.-W., Qiu, R.L.J. and Yang, X. (2024) Fast MRI Reconstruction Using Deep Learning-Based Compressed Sensing: A Systematic Review.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...