Related Experiment Video
Updated: Feb 13, 2026
05:19
Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
Published on: November 12, 2019
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Live Spike Sorting of Large-scale Neural Recordings
Shreyas Muralidharan1, Calvin Leng2,3, Lucas Orts1
1Department of Electrical Engineering, Stanford University School of Engineering, Stanford CA, USA.
Biorxiv : the Preprint Server for Biology
|February 12, 2026
Summary
A new Live Sorting of Neuronal Activity (LSS) system enables real-time analysis of neural signals, outperforming traditional methods for brain-computer interfaces and neurofeedback applications.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Electrophysiology
Background:
- Online monitoring of neural signals is crucial for neurofeedback and brain-computer interfaces.
- Current methods often rely on thresholded activity, limiting precision.
- Advances in high-density electrophysiology necessitate improved real-time spike sorting.
Purpose of the Study:
- To introduce a robust and accessible system for live sorting of neuronal activity (LSS).
- To enable precise, real-time analysis of neural signals from large-scale recordings.
- To improve the performance of online neural decoding.
Main Methods:
- Developed a Live Sorting of Neuronal Activity (LSS) system based on the Kilosort platform.
- Utilized Kilosort for initial waveform template identification from recorded neural data.
- Interfaced LSS with the SpikeGLX API for online processing of small data batches.
Main Results:
- LSS closely replicated offline sorting results in macaque visual cortex recordings.
- Live-sorted single-neuron activity showed similar post-stimulus time histograms and tuning curves.
- Online decoding using LSS outperformed decoding of thresholded activity and matched offline performance.
Conclusions:
- The LSS system provides accurate real-time sorting of neuronal activity.
- LSS significantly enhances the capabilities of online neural signal analysis.
- This system offers a powerful tool for advancing brain-computer interfaces and neurofeedback research.
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