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Neurostimulators for high-resolution artificial retina: ASIC design challenges and solutions
Hyunbeen Jeong1, Jisung Kim1, Jong-Mo Seo1,2
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
Journal of Neural Engineering
|November 14, 2022
Summary
This study addresses challenges in designing neurostimulators for artificial retinas. Solutions are proposed to improve circuit competitiveness in power and area consumption for better artificial vision devices.
Area of Science:
- Biomedical Engineering
- Electrical Engineering
- Materials Science
Background:
- Neurostimulators are critical components in artificial retina design.
- Existing artificial retina designs face challenges in neurostimulator functionality and efficiency.
Purpose of the Study:
- To analyze unsolved problems in artificial retina neurostimulator design.
- To propose and verify solutions for improved neurostimulator performance.
Main Methods:
- Mathematical proofs and simulations using MATLAB and Ansys.
- Circuit analysis to evaluate discharge circuit necessity.
- Estimation of resistive-capacitive delay for I/O count restrictions.
Main Results:
- An alternative approach using a common reference electrode switching circuit is proposed to overcome high-voltage CMOS process limitations.
- Passive discharge circuits are found sufficient for suppressing direct current in most situations.
- Analysis of I/O count restrictions due to interconnection delays.
Conclusions:
- The study clarifies current neurostimulator design problems for artificial retinas.
- Presented solutions enable the design of more power- and area-efficient circuits.
- This research contributes to the development of more competitive artificial retina technologies.
