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arXiv · 2607.06569

Towards a Pseudo-Labeling Workflow for Celltype-Classification from Explanted Brain Slice Recordings

Cora Jostock·Jonas Ort·Henner Koch·Gregor Schiele·Andreas Erbslöh
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Abstract

This paper proposes an unsupervised workflow to pseudo-label extracellular spikes from human brain slice MEA recordings into two putative cell types: pyramidal cells and interneurons. Here, the raw data from the data acquisition system is used and processed. The pipeline for pre-processing includes bandpass filtering, threshold--based spike detection, frame alignment and normalization. In the ML workflow, dimensionality reduction (PCA, t-SNE, UMAP), clustering (GMM, k-means). To achieve an online system, template matching and OSort under varying curation strictness is also considered. All pipelines are evaluated by different cluster quality with within-cluster Pearson correlation, Silhouette score, and Calinski-Harabasz index. Applying stricter curation improves separation at some cost to inclusivity.

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Cora Jostock, Jonas Ort, Henner Koch, Gregor Schiele, Andreas Erbslöh. 2026-06-15. Towards a Pseudo-Labeling Workflow for Celltype-Classification from Explanted Brain Slice Recordings. https://arxiv.org/abs/2607.06569

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