eLife

Boosting the signal: Expectation-driven gain modulation of preparatory spatial attention

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...
IEEE

Compression-Based Complexity Analysis of Thalamic EEG Using Multiscale Preprocessing Techniques

Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...
The Malaysian Reserve

Zyphra Releases ZUNA – BCI Foundation Model Advancing Towards Thought-to-Text

New brain-computer interface AI model improves real-world EEG data while advancing Zyphra's mission to develop human-aligned ...
GitHub

A methodology to pre-process text data for preventing lookahead bias in Large Language Models (LLMs), particularly in financial text analysis.

Entity Neutering is a text preprocessing technique designed to anonymize financial documents and news articles to prevent LLMs from using prior knowledge about specific companies, industries, or time ...
GitHub

XRay SuperRes Enhancer – FastAPI Service for Super-Resolution and Denoising of Medical X-ray Images

This project supports all types of 2D medical X-ray images, including chest, dental, and others. It performs super-resolution and denoising using a RealESRGAN-based model. The application supports ...
IEEE

A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing

Abstract: As the global population ages, the prevalence of dementia is expected to surge, necessitating innovative solutions to support the growing number of affected individuals. This research shows ...