Supplementary Materials: Towards robust and generalizable representations of extracellular data using contrastive learning

This augmentation is applied to waveforms with a probability of 0.7. T emporal Jitter: This augmentation works through two steps. This augmentation is applied to waveforms with a probability of 0.5. We use a batch size of 128 and learning rate of 0.0001 for all multi-channel models. CEED benchmark models seems appropriate.