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Updated: Jul 17, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
Published on: April 15, 2015
Models of stimulation artifacts applied to integrated circuit design
Richard Blum1, James Ross, Samir Das
1Laboratory for Neuroengineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
This study introduces a new monolithic system for simultaneous neural stimulation and recording. The research models and analyzes stimulation artifacts to improve integrated recording system design for better neural data acquisition.
Area of Science:
- Neuroscience
- Electrical Engineering
- Biomedical Engineering
Background:
- Monolithic systems offer scalability advantages for multichannel neural recording compared to discrete component systems.
- Stimulation artifacts are a significant challenge in neural recording, distorting signals after electrical stimulation.
- Accurate modeling of stimulation artifacts is crucial for developing effective artifact removal techniques.
Purpose of the Study:
- To develop a monolithic system for simultaneous, multichannel stimulation and recording.
- To analyze and model stimulation artifacts to improve neural recording system design.
- To design an integrated recording system capable of artifact removal.
Main Methods:
- Development of a monolithic stimulation and recording system.
- Analysis of stimulation artifact models.
- Comparison of model predictions with physical measurements.
- Design of an integrated circuit for artifact removal.
Main Results:
- Validated stimulation artifact models through comparison with physical measurements.
- Demonstrated the utility of a linear model for circuit simulation and integrated system design.
- Proposed a compact (18,000 micron^2) monolithic design suitable for integration.
Conclusions:
- The developed linear model aids in designing integrated recording systems with artifact removal capabilities.
- Monolithic integration is a viable approach for scalable multichannel neural stimulation and recording systems.
- The research contributes to overcoming the challenge of stimulation artifacts in neural interfaces.
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