Spike Sorting with VanillaSort

arXiv:2609.22322 · eess.SP, q-bio.NC · Submitted 2026-09-15 · Read on arXiv

eess.SP, q-bio.NC

Submitted: 2026-09-15

Updated: 2026-09-15

Code: https://github.com/IgarashiAkatuki/VanillaSort

Terminology

• Accuracy — 10× in this paper · explained in 1 episode
• Clustering — 10× in this paper · explained in 2 episodes
• Pseudo-labels — 5× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• International Brain Laboratory — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Standard Error of the Mean — 1× in this paper

Sources

• HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings
• SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
• SGDR: Stochastic Gradient Descent with Warm Restarts
• Query-Key Normalization for Transformers

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