Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Abstract: While large language models have demonstrated remarkable text generation capabilities, they often generate text with adverse or undesired attributes. Common approaches to control text ...
BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...
Abstract: Brain-to-text systems are rapidly emerging at the intersection of neuroscience, brain–computer interfaces (BCIs), and artificial intelligence, aiming to decode neural signals into coherent ...
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