Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief

TL;DR

This tutorial brief reviews recent advances in neural recording circuits and systems, discussing design methodologies, system architectures, noise reduction, and future challenges in real-time brain monitoring and neurotechnology.

Contribution

It provides a comprehensive overview of current neural recording technologies, highlighting recent trends, design considerations, and future prospects in the field.

Findings

Neural signal characteristics and system specifications are crucial for effective recording.

Design methodologies include system architecture and circuit-level implementation.

Future challenges involve noise reduction and system miniaturization.

Abstract

Recent years have seen fast advances in neural recording circuits and systems as they offer a promising way to investigate real-time brain monitoring and the closed-loop modulation of psychological disorders and neurodegenerative diseases. In this context, this tutorial brief presents a concise overview of concepts and design methodologies of neural recording, highlighting neural signal characteristics, system-level specifications and architectures, circuit-level implementation, and noise reduction techniques. Future trends and challenges of neural recording are finally discussed.