Deep Recurrent Encoder: A scalable end-to-end network to model brain signals. (arXiv:2103.02339v3 [q-bio.NC] UPDATED)

Understanding how the brain responds to sensory inputs is challenging: brain
recordings are partial, noisy, and high dimensional; they vary across sessions
and subjects and they capture highly nonlinear dynamics. These challenges have
led the community to develop a variety of preprocessing and analytical (almost
exclusively linear) methods, each designed to tackle one of these issues.
Instead, we propose to address these challenges through a specific end-to-end
deep learning architecture, trained to predict the brain responses of multiple
subjects at …

arxiv bio brain brain signals encoder network scalable