University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

This fundamental study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It ...

Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...

Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive ...

An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training. When you purchase through links on our site, we may earn an affiliate ...

Note: If you are looking for a faster, more robust implementation for standart encodings, use the standard library. This library goal is to provide a flexible implementation for custom base-N ...

Language models (LMs), while powerful in generating human-like text, often produce unstructured and inconsistent outputs. The lack of structure in responses poses challenges in real-world applications ...

Maximum A Posteriori (MAP) decoding is a technique used to estimate the most probable value of an unknown quantity based on observed data and prior knowledge, especially in digital communications and ...

Scientists have developed brain implants that can decode internal speech — identifying words that two people spoke in their minds without moving their lips or making a sound. Although the technology ...

Introduction: Language impairments often result from severe neurological disorders, driving the development of neural prosthetics utilizing electrophysiological signals to restore comprehensible ...