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Updated: Sep 14, 2025

Generation of a Human iPSC-Based Blood-Brain Barrier Chip

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Published on: March 2, 2020

Advanced Brain-on-a-Chip for Wetware Computing: A Review.

Shangchen Li^1,2, Yaoyao Liu^1,2, Sihan Hua^1,2

¹State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|July 23, 2025

Summary

This summary is machine-generated.

Brain-on-a-chip technology merges biology and electronics for advanced Wetware Computing. This review explores its methods, data processing, and future potential for efficient, low-power computation beyond silicon limits.

Keywords:

MEA MEMS brain‐on‐a‐chip microfluidics wetware compute

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Area of Science:

Neuroscience
Bioengineering
Computer Science

Background:

Silicon-based chips face computational and power limitations.
Wetware Computing, utilizing biological tissues like neuronal networks, offers a novel alternative.
Organ-on-a-chip technology, specifically brain-on-a-chip, is a key platform for Wetware Computing.

Purpose of the Study:

To review the current state of brain-on-a-chip technology for Wetware Computing.
To summarize establishment methods, data processing techniques, and applications.
To discuss the future prospects of brain-on-a-chip in advancing computing.

Main Methods:

In vitro culture of brain organoids.
Integration with microelectrode arrays and electrophysiology interfaces.
Utilization of microfluidic platforms for controlled environments.

Main Results:

Brain-on-a-chip platforms are established using a combination of biological and microelectronic components.
Data processing methods, including encoding and decoding, are being developed for these systems.
The review highlights the potential of these platforms for Wetware Computing applications.

Conclusions:

Brain-on-a-chip represents a significant advancement in Wetware Computing research.
This technology holds promise for developing low-power, high-efficiency computational devices.
Further research into applications and data processing will drive future progress.