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A Scalable, Programmable Neural Stimulator for Enhancing Generalizability in Neural Interface Applications.

Meng Yin1,2, Xiao Wang1,2, Liuxindai Zhang1,2

  • 1State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou 570228, China.

Biosensors
|July 26, 2024
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Summary

This study introduces a scalable, 32-channel neurostimulator on a chip for precise neural interface stimulation. Its flexible design offers a wide current range and high resolution, enhancing stimulation strategies.

Keywords:
SoCcompliance voltageneural interfaceneurostimulatorstimulation resolution

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Electrical Engineering

Background:

  • Effective neurostimulation requires tailored parameters, but current systems face challenges in balancing current, resolution, and channel count, limiting generalizability.
  • Existing neurostimulators often struggle to provide a wide range of stimulation parameters suitable for diverse neural interface applications.

Purpose of the Study:

  • To develop a highly scalable and programmable neurostimulator System-on-Chip (SOC) with 32 independent channels.
  • To enhance the generalizability of neurostimulators across various neural interfaces by offering flexible and refined stimulation strategies.

Main Methods:

  • Designed a System-on-Chip (SOC) neurostimulator with 32 independent stimulation channels and a compliance voltage up to ±22.5 V.
  • Integrated 8-bit current-mode DACs with a user-selectable dual range for both low-current microstimulation (4.31 μA/bit) and high-current applications (48.00 μA/bit).
  • Implemented a dedicated communication protocol for programmable control of stimulation waveforms.

Main Results:

  • Achieved a wide stimulation current range of 12.24 mA with high resolution for biological stimulation.
  • Demonstrated full programmable control over stimulation waveforms, expanding the range of achievable stimulation parameters.
  • Successfully validated the neurostimulator's functionality through in vivo electrophysiological experiments.

Conclusions:

  • The proposed 32-channel neurostimulator SOC offers a flexible and scalable architecture for diverse neural interfaces.
  • This advanced stimulator enables more refined and varied stimulation strategies, improving efficacy across applications.
  • The system's design addresses limitations in current neurostimulators, paving the way for broader adoption in neural engineering.