Stable Neural Decoding Across Sessions via Task-Conditioned Latent Alignment for Brain-Machine Interfaces
Task-Conditioned Latent Alignment (TCLA), a framework that stabilizes neural decoding by learning a shared latent space, is proposed, which learns a low-dimensional source representation using neural reconstruction and continuous behavioral supervision.