Get the latest tech news
A 4096 channel event-based multielectrode array with asynchronous outputs
Developing efficient real-time closed-loop interfacing with neuromorphic processors is a challenge. The authors report a GAIA sensor, which is a 4096-channel event-based MEA that encodes biopotentials in event-based pulses reducing data transmission and power consumption.
GAIA’s distinct advantage lies in its adaptive data transmission approach: by outputting an asynchronous digital event only when detecting a local relative voltage change that surpasses a preset threshold, it favors the encoding of meaningful biological signals with large transients and discards noise and small fluctuations. However, it is vital to acknowledge inherent challenges: with the pixel’s active design, transmitting digital data over extended wire lengths within an analog computational environment introduces vulnerabilities to noise disturbances and potential coupling issues. Looking forward, advancements such as hybrid architectures or lower technological nodes present promising avenues to mitigate these challenges, potentially reducing both pitch and noise without compromising the system’s innovative encoding and spatial resolution capabilities.
Or read this on Hacker News