CUSP: Complex spike sorting from multi-electrode array recordings with U-net sequence-to-sequence prediction
CUSP provides a scalable, robust framework for analyzing burst-like or dynamically complex spike patterns. Its generalizability makes it valuable for large-scale cerebellar datasets and other neural systems, such as hippocampal pyramidal cells, where complex bursts are critical for computation. By combining expert-level accuracy with automation, CUSP offers a broadly applicable solution for studying information coding across circuits.
Authors
- Kathleen E. Cullen (ORCID: https://orcid.org/0000-0002-9348-0933)
- Robyn L. Mildren (ORCID: https://orcid.org/0000-0001-8284-9275)
- Adam S. Charles (ORCID: https://orcid.org/0000-0002-9045-3489)
- Chenhao Bao (ORCID: https://orcid.org/0000-0002-6689-8023)
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- Journal of Neuroscience Methods
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.jneumeth.2025.110631
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 0.00