Abstract: In IJCNN 2001 a new event is a competition with three challenging problems. In this paper we describe our approaches on solving the first two problems: generalization ability challenge and ...

Summary: Meta’s Fundamental AI Research team has unveiled TRIBE, a groundbreaking foundation model designed to predict how the human brain processes visual and auditory stimuli. Trained on massive ...

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: 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 ...