A Large-Scale Neuromodulation System-on-Chip Integrating 128-Channel Neural Recording and 32-Channel Programmable Stimulation for Neuroscientific Applications
We present a large-scale neuromodulation system-on-chip (SoC) that integrates a 128-channel neural recording and 32-channel stimulation ASIC designed for a wide range of neuroscientific applications. Each recording channel achieves low-noise performance (~4 μVrms) with a configurable bandwidth of 0.05 Hz–7.5 kHz and supports 16-bit digitization with scalable sampling rates up to 30 kS/s. To enhance signal quality, the ASIC includes an adjustable digital high-pass filter and a fast-settling function for rapid recovery from stimulation artifacts. SoC also incorporates on-chip electrode-impedance measurements as a built-in safety feature by reusing the recording channels. The stimulation subsystem generates current-controlled monopolar biphasic pulses with a high compliance voltage of ±6 V using standard low-voltage (1.8 V/3.3 V) CMOS devices. Each of the 32 stimulation channels provides arbitrary 9-bit programmable waveforms and dual current modes (4 μA/bit and 8 μA/bit), supporting both fine-resolution microstimulation and high-current applications such as spinal-cord and deep-brain stimulation. On-chip charge-balancing switches in each channel further ensure safe and reliable stimulation delivery. The SoC supports digital communication via a standard SPI with both 3.3 V CMOS and low-voltage differential signaling options and integrates all required analog references and low-dropout regulators. The prototype was fabricated in a standard 180 nm CMOS process, occupying 31.92 mm2 (equivalently, 0.2 mm2 per recording-and-stimulation channel), and was fully validated through benchtop measurements and in vitro experiments.
Authors
- Jeongho Choi
- Joongyu Kim (ORCID: https://orcid.org/0009-0009-0854-9261)
- Minsung Kim (ORCID: https://orcid.org/0000-0003-2497-6238)
- Sung‐Yun Park (ORCID: https://orcid.org/0000-0002-4623-5417)
- Gunwook Park
- Minjae Kim (ORCID: https://orcid.org/0000-0003-4917-5971)
- Daehong Kim (ORCID: https://orcid.org/0000-0002-5970-7575)
- ByungIn Yoo (ORCID: https://orcid.org/0000-0002-8252-8700)
Institutions
- Pusan National University (KR)
Publication Details
- Journal
- Electronics
- Published
- 2025-10-15
- DOI
- https://doi.org/10.3390/electronics14204057
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00