@article {70245, title = {A System for Live Sorting of Neuronal Spiking Activity from Large-scale Recordings}, journal = {bioRxiv}, year = {2026}, month = {2026 Jan 02}, abstract = {

Online monitoring and quantification of neural signals has tremendous value both for neurofeedback experiments and for brain-computer interfaces. Unfortunately, established methods of online monitoring primarily involve the use of thresholded neural activity rather than sorted single-neuron spikes. The recent introduction of large-scale, high-density electrophysiology has enabled the recording of activity from hundreds of neurons simultaneously in both model organisms and human participants. This development highlights the need for a robust and easily implementable system for sorting spikes during data collection for {\textquoteleft}live{\textquoteright} analyses of neuronal signals. Here, we describe a system for live sorting of neuronal activity (LSS) based on the widely used Kilosort platform. The LSS workflow utilizes an initial period of recorded neural data to identify waveform templates using Kilosort 4. LSS then interfaces with the SpikeGLX API to retrieve small batches (e.g. 50 ms) of data and for processing online. We measured the similarity of single-neuron activity sorted live by LSS to that sorted offline in neurophysiological recordings from macaque visual cortex using Neuropixels probes. We show that LSS closely replicates the post-stimulus time histograms and visual response tuning curves of single-neurons obtained using offline sorting. Furthermore, we show that decoding neural signals online with LSS consistently outperforms online decoding of thresholded activity, and that LSS can achieve the same performance as that obtained with offline sorting.

}, doi = {10.64898/2025.12.29.696938}, url = {https://www.biorxiv.org/content/early/2026/01/02/2025.12.29.696938}, author = {Muralidharan, Shreyas and Leng, Calvin and Orts, Lucas and Trepka, Ethan and Zhu, Shude and Panichello, Matthew and Jonikaitis, Donatas and Pennington, Jacob and Pachitariu, Marius and Moore, Tirin} } @article {70006, title = {Large-scale high-density brain-wide neural recording in nonhuman primates.}, journal = {Nat Neurosci}, year = {2025}, month = {2025 Jun 23}, abstract = {

High-density silicon probes have transformed neuroscience by enabling large-scale neural recordings at single-cell resolution. However, existing technologies have provided limited functionality in nonhuman primates (NHPs) such as macaques. In the present report, we describe the design, fabrication and performance of Neuropixels 1.0 NHP, a high-channel electrode array designed to enable large-scale acute recording throughout large animal brains. The probe features 4,416 recording sites distributed along a 45-mm shank. Experimenters can programmably select 384 recording channels, enabling simultaneous multi-area recording from thousands of neurons with single or multiple probes. This technology substantially increases scalability and recording access relative to existing technologies and enables new classes of experiments that involve electrophysiological mapping of brain areas at single-neuron and single-spike resolution, measurement of spike-spike correlations between cells and simultaneous brain-wide recordings at scale.

Preprint: https://doi.org/10.1101/2023.02.01.526664\ 

}, issn = {1546-1726}, doi = {10.1038/s41593-025-01976-5}, url = {https://doi.org/10.1038/s41593-025-01976-5}, author = {Trautmann, Eric M and Hesse, Janis K and Stine, Gabriel M and Xia, Ruobing and Zhu, Shude and O{\textquoteright}Shea, Daniel J and Karsh, Bill and Colonell, Jennifer and Lanfranchi, Frank F and Vyas, Saurabh and Zimnik, Andrew and Amematsro, Elom and Steinemann, Natalie A and Wagenaar, Daniel A and Pachitariu, Marius and Andrei, Alexandru and Lopez, Carolina Mora and O{\textquoteright}Callaghan, John and Putzeys, Jan and Raducanu, Bogdan C and Welkenhuysen, Marleen and Churchland, Mark and Moore, Tirin and Shadlen, Michael and Shenoy, Krishna and Tsao, Doris and Dutta, Barundeb and Harris, Timothy} }