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CUSP: Complex Spike Sorting from Multi-electrode Array Recordings with U-net Sequence-to-Sequence Prediction
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DOI：10.1016/j.jneumeth.2025.110631.png)
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Abstract
En 中文
• We developed CUSP, a deep learning tool for cerebellar complex spike detection. • CUSP analyzes multi-electrode array (MEA) data from LFP and AP signals. • It achieves expert-level accuracy and surpasses state-of-the-art sorters. • CUSP is robust to spikelet variability and drift, with an open benchmark set.
Keywords:
complex spike
spike sorting
multi-electrode array
deep learning
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