A Python-based module for creating flexible and robust spike sorting pipelines.
-
Updated
May 14, 2024 - Python
A Python-based module for creating flexible and robust spike sorting pipelines.
Analyze neuroscience data in the cloud
Fast spike sorting with drift correction for up to a thousand channels
Spike Cluster Score (SCS) is a clustering performance metric designed with the purpose of spike sorting in mind.
An Engine for Dynamic Enhancement and Noise Overcoming in Spatiotemporal Multimodal Neural Observations via High-density Microelectrode Arrays
Automatic and manual spike sorting based on SpikeInterface
An automated, end-to-end, machine-learning-based spike sorting pipeline following the DeepCluster method
Neural spike sorting algorithm based on iso-cut clustering and template matching in raw voltage space for the detection of near-simultaneous spike events.
Automatic spike sorting, cluster visualization, spike sorting GUIs
Fast and scalable spike sorting in python
WaveClus: Unsupervised Spike Sorting Algorithm
A couple of Matlab classes to make handling spike sorting data substantially easier
A study of how autoencoders fare in the domain of Spike Sorting. Various autoencoder architectures have been tested.
Robust Offline Spike Sorter
Software for high density electrophysiology
Optimized spike detection based on https://github.com/mhhennig/HS2
Implementation of semi-automatic spike interface pipeline on tungsten WARP data for the myriad cluster
📈 Worked examples of fundamental plots for electrophysiological data
Python Implementation of GLMCC (generalized linear model for spike cross-correlations)
Add a description, image, and links to the spike-sorting topic page so that developers can more easily learn about it.
To associate your repository with the spike-sorting topic, visit your repo's landing page and select "manage topics."