A 4096 channel event-based multielectrode array with asynchronous outputs
A new 4096-channel event-based multielectrode array named GAIA has been developed for efficient bio-signal sensing, reducing data transmission and energy consumption while enhancing scalability and adaptability in biomedical applications.
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A new 4096-channel event-based multielectrode array (MEA) named GAIA has been developed, which features asynchronous outputs compatible with neuromorphic processors. This innovative MEA digitizes bio-signals at the pixel level, encoding changes as asynchronous digital address-events only when they exceed a certain threshold. This method significantly reduces off-chip data transmission, addressing the challenges of high data rates and energy consumption associated with traditional bio-signal sensing methods. The GAIA system consists of a 64x64 electrode array, an asynchronous 2D arbiter, and an Address-Event Representation (AER) communication block. Each pixel autonomously monitors voltage fluctuations from cellular activity, generating digital pulses for significant changes. The system has been validated through experimental measurements with electrogenic cells and successfully interfaced with a mixed-signal neuromorphic processor, demonstrating a prototype for end-to-end event-based bio-signal sensing and processing. The architecture allows for efficient data handling by focusing on relevant biological signals while discarding noise, thus enhancing the scalability and adaptability of biosensing systems. The GAIA MEA represents a significant advancement in biomedical engineering, particularly for applications requiring real-time processing of bio-signals.
- GAIA is a 4096-channel event-based multielectrode array designed for efficient bio-signal sensing.
- It uses asynchronous outputs to reduce data transmission and energy consumption.
- The system autonomously encodes significant voltage changes, minimizing irrelevant data.
- GAIA has been validated with electrogenic cells and interfaces with neuromorphic processors.
- This technology enhances scalability and adaptability in biomedical applications.
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