# Scaling Spike Detection and Sorting for Next Generation Electrophysiology

arXiv: https://arxiv.org/abs/1809.01051 · HTML: https://mlsanity.com/paper/1809.01051/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Sep 2018.

## Built on by (most cited first, 1 of 1)

- [Building population models for large-scale neural recordings: opportunities and pitfalls](https://mlsanity.com/paper/2102.01807/) (2021)

## Abstract (arXiv)

Reliable spike detection and sorting, the process of assigning each detected spike to its originating neuron, is an essential step in the analysis of extracellular electrical recordings from neurons. The volume and complexity of the data from recently developed large scale, high density microelectrode arrays and probes, which allow recording from thousands of channels simultaneously, substantially complicate this task conceptually and computationally. This chapter provides a summary and discussion of recently developed methods to tackle these challenges, and discuss the important aspect of algorithm validation, and assessment of detection and sorting quality.