@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} } @article {65261, title = {Neuropixels data-acquisition system: A scalable platform for parallel recording of 10 000+ electrophysiological signals.}, journal = {IEEE Transactions on Biomedical Circuits and Systems}, volume = {13}, year = {2019}, month = {2019 Dec 01}, pages = {1635-1644}, abstract = {

Although CMOS fabrication has enabled a quick evolution in the design of high-density neural probes and neural-recording chips, the scaling and miniaturization of the complete data-acquisition systems has happened at a slower pace. This is mainly due to the complexity and the many requirements that change depending on the specific experimental settings. In essence, the fundamental challenge of a neural-recording system is getting the signals describing the largest possible set of neurons out of the brain and down to data storage for analysis. This requires a complete system optimization that considers the physical, electrical, thermal and signal-processing requirements, while accounting for available technology, manufacturing constraints and budget. Here we present a scalable and open-standards-based open-source data-acquisition system capable of recording from over 10,000 channels of raw neural data simultaneously. The components and their interfaces have been optimized to ensure robustness and minimum invasiveness in small-rodent electrophysiology.

}, issn = {1940-9990}, doi = {10.1109/TBCAS.2019.2943077}, author = {Putzeys, Jan and Musa, Silke and Mora Lopez, Carolina and Raducanu, Bogdan C and Carton, Alain and De Ceulaer, Jef and Karsh, Bill and Siegle, Joshua H and Van Helleputte, Nick and Harris, Timothy D and Dutta, Barundeb} }