SoC design for brain-machine-interface

We work on low-power analog front-end design including amplifier and ADC for neural signal recording, wireless links for data and power transmission, and dedicated low-power AI-accelerated processor for neural signal processing. With advanced silicon process and packaging technology, various types of circuits can be integrated into a compact system-on-chip (SoC) for various brain-machine-interface applications [BIOCAS]. We are devoting to improving various circuit metrics including signal-to-noise ratio, energy-efficiency, etc. We are now working on develop CenBRAIN’s first SoC chip that integrates analog front-end and dedicated low-power brain signal processor.

Figure 4. Conceptual architecture of CenBRAIN’s first generation brain-machine-interface SoC