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

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

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

Spike sorting by k-means clustering algorithms. (A) An original trace

Frontiers Improved space breakdown method – A robust clustering technique for spike sorting

Evaluation of Spike Sorting Algorithms: Application to Human Subthalamic Nucleus Recordings and Simulations - ScienceDirect

PDF) A New Template Matching Method using Variance Estimation for Spike Sorting.

Evaluation of Spike Sorting Algorithms: Application to Human Subthalamic Nucleus Recordings and Simulations - ScienceDirect

VISSOR. Programa para la detección, identificación y clasificación de potenciales de acción desde datos neurales

Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models

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

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

Facilitating stochastic resonance as a pre-emphasis method for neural spike detection - IOPscience