Cebra
FreeCEBRA is a self-supervised learning algorithm for interpretable time series analysis. It decodes complex neural and behavioral data, revealing hidden structures.
Use Cases
• Decode neural activity from the visual cortex to reconstruct viewed video. • Decode trajectories from the sensorimotor cortex of primates. • Decode position during navigation. • Analyze rat hippocampus data for position/neural activity correlation. • Embed mouse primary visual cortex data with DINO frame features. • Analyze neural data from primary motor and somatosensory cortices.