https://arxiv.org/abs/1508.06936
[1508.06936] Validation of neural spike sorting algorithms without ground-truth information
Abstract page for arXiv paper 1508.06936: Validation of neural spike sorting algorithms without ground-truth information
spike sorting
https://github.com/spyke/spyke
GitHub - spyke/spyke: A Python application for visualizing, navigating, and spike sorting...
A Python application for visualizing, navigating, and spike sorting high-density multichannel neuronal extracellular waveform data - spyke/spyke
githubspykepythonapplication
https://www.frontiersin.org/journals/neural-circuits/articles/10.3389/fncir.2012.00105/full
Frontiers | High-density microelectrode array recordings and real-time spike sorting for...
Understanding plasticity of neural networks is a key to comprehending their development and function. A powerful technique to study neural plasticity include...
high densitymicroelectrode array
https://www.southampton.ac.uk/study/postgraduate-research/projects/quantum-machine-learning-for-efficient-spike-sorting-in-low
Quantum machine learning for efficient spike sorting in low-cost neural recording systems |...
Discover more about our research project: Quantum machine learning for efficient spike sorting in low-cost neural recording systems at the University of...
quantum machine learning