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Neuropixels data-acquisition system: A scalable platform for parallel recording of 10 000+ electrophysiological signals.

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IEEE Transactions on Biomedical Circuits and Systems. 2019 Dec 01;13(6):1635-1644. doi: 10.1109/TBCAS.2019.2943077
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Neuropixels data-acquisition system: A scalable platform for parallel recording of 10 000+ electrophysiological signals. Harris Lab
Putzeys J, Musa S, Lopez C, Raducanu BC, Carton A, De Ceulaer J, Karsh B, Siegle JH, Van Helleputte N, Harris TD, Dutta B
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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.

PMID: 31545742 [PubMed - indexed for MEDLINE]

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Janelia Authors

Bill Karsh
Tim Harris
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