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Nicholas A Steinmetz

2 accepted papers

2025

In vivo cell-type and brain region classification via multimodal contrastive learning

ICLR 2025spotlight

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…

Cited by 1SourcePDFScholar
2016

Fast and accurate spike sorting of high-channel count probes with KiloSort

NeurIPS 2016poster

New silicon technology is enabling large-scale electrophysiological recordings in vivo from hundreds to thousands of channels. Interpreting these recordings requires scalable and accurate automated methods for spike sorting, which should minimize the time required for manual curation of the results.…