Brant-2: Foundation Model for Brain Signals

arXiv:2402.10251v1 Announce Type: cross
Abstract: Foundational models benefit from pre-training on large amounts of unlabeled data and enable strong performance in a wide variety of applications with a small amount of labeled data. Such models can be particularly effective in analyzing brain signals, as this field encompasses numerous application scenarios, and it is costly to perform large-scale annotation. In this work, we present the largest foundation model in brain signals, Brant-2. Compared to Brant, a foundation model designed for intracranial …

arxiv brain brain signals cs.ai cs.lg eess.sp foundation foundation model q-bio.nc type