Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices

Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models

Super-selective reconstruction of causal and direct connectivity with application to in-vitro iPSC neuronal networks

A study of autoencoders as a feature extraction technique for spike sorting. - Abstract - Europe PMC

Electronics, Free Full-Text

Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices

An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions

Investigadores de la UPO validan un novedoso método para identificar la actividad eléctrica de las neuronas - Biotech Spain

An Adaptive Detection for Automatic Spike Sorting Based on Mixture of Skew-t distributions

Classification of Theoretical Extracellular Action Potentials Based on Unsupervised Machine-Learning

The upper panel shows detected and reconstructed spikes using the ABS