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Updated: Aug 5, 2026
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Construction of Microdrive Arrays for Chronic Neural Recordings in Awake Behaving Mice
Published on: July 5, 2013
High-channel-count neural recording and stimulation platform with 5376 simultaneous recording channels
Yingying Fan1, Yuhang Ma2, Pavlo Zolotavin3,4
1Department of Electrical and Computer Engineering, Houston, TX, USA. fyingying@wustl.edu.
Npj Biomedical Innovations
|August 3, 2026
Summary
Researchers developed a scalable neural interface integrating electrodes with advanced application-specific integrated circuits (ASICs). This high-density system enables precise brain activity mapping for applications like brain-computer interfaces.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Materials Science
Background:
- Advancing neural interfaces necessitates high-density recording technologies for comprehensive brain activity capture.
- Current technologies face limitations in scale and integration for full-spectrum neural recording.
Purpose of the Study:
- To present a scalable method for integrating neural electrodes with advanced application-specific integrated circuits (ASICs).
- To develop a high-density neural recording platform for precise in vivo brain activity mapping.
Main Methods:
- Custom-designed an ASIC with 5376 channels, featuring in-pixel amplification, time-division multiplexed ADCs, and on-chip stimulation.
- Utilized gold bump bonding for high-density integration of flexible probes and rigid ASIC chips.
- Integrated the platform with a flexible microelectrocorticography (μECoG) array for in vivo recordings.
Main Results:
- Achieved high-density integration with a low noise level (5.5 µVrms) and high data streaming throughput (>1.3 Gb/s).
- Demonstrated high-resolution mapping of in vivo field potentials on rat cortical surfaces.
- Successfully localized evoked sensory activities with precision.
Conclusions:
- The developed platform offers an effective approach for highly integrated neural interfaces.
- This technology has significant potential for brain-computer interfaces, neuroprosthetics, and large-scale functional brain mapping.
