brain-computer interfaces 1few-shot learning 1masked autoencoding 1neural decoding 1self-supervised learning 1spike tokenization 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Leveraging unlabelled data for generalizable neural population decoding
Ximeng Mao, Nanda H. Krishna, Avery Hee-Woon Ryoo +2
The paper presents MOJO, a framework that combines masked autoencoding self‑supervised learning with supervised training for spike‑tokenizing neural decoders, yielding better decod…
q-bio.NC2025
Generalizable, real-time neural decoding with hybrid state-space models
Avery Hee-Woon Ryoo, Nanda H. Krishna, Ximeng Mao +4
Real-time decoding of neural activity is central to neuroscience and neurotechnology applications, from closed-loop experiments to brain-computer interfaces, where models are subje…