A novel and fully automatic spike-sorting implementation with variable number of features

• Published in: Journal of neurophysiology Vol. 120; no. 4; pp. 1859 - 1871
• Main Authors: Chaure, Fernando J., Rey, Hernan G., Quian Quiroga, Rodrigo
• Format: Journal Article
• Language: English
• Published: United States American Physiological Society 01.10.2018
• Subjects: Algorithms; Animals; Cortical Excitability; Electrodes - standards; Electroencephalography - instrumentation; Electroencephalography - methods; Humans; Innovative Methodology; Sensitivity and Specificity; Software; neurophysiology; tetrode; single-neuron recordings; spike sorting

The most widely used spike-sorting algorithms are semiautomatic in practice, requiring manual tuning of the automatic solution to achieve good performance. In this work, we propose a new fully automatic spike-sorting algorithm that can capture multiple clusters of different sizes and densities. In a...