In vivo cell-type and brain region classification via multimodal contrastive learning
Han Yu, Hanrui Lyu, Ethan Yixun Xu, Charlie Windolf, Eric Kenji Lee, Fan Yang, Andrew M Shelton, Shawn Olsen, Sahar Minavi, Olivier Winter, International Brain Laboratory, Eva L Dyer, Chandramouli Chandrasekaran, Nicholas A Steinmetz, Liam Paninski, Cole Hurwitz · COSYNE 2025
Current electrophysiological approaches can track the activity of many neurons, yet it is usually unknown which cell-types or brain areas are being recorded without further molecular or histological analysis. Developing accurate and scalable algorithms for identifying the cell-type and brain region of recorded neurons is thus crucial for improving our understanding of neural computation. In this work, we develop a multimodal contrastive learning approach for neural data that can be fine-tuned for different downstream tasks, including inference of cell-type and brain location. We utilize this a
ePoster · Neuroscience