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Updated: Jan 7, 2026

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors

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Published on: January 31, 2025

Organic Electrochemical Transistors for Neuromorphic Devices and Applications.

Kexin Xiang¹, Jiajun Song^1,2, Hong Liu¹

¹Department of Applied Physics, Research Center for Organic Electronics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China.

Advanced Materials (Deerfield Beach, Fla.)

|January 5, 2026

Summary

Organic electrochemical transistors (OECTs) are revolutionizing neuromorphic engineering by mimicking brain functions for advanced computing. These devices offer a promising pathway for creating intelligent, bio-integrated systems.

Keywords:

artificial neural network artificial neuron artificial synapse mixed ionic–electronic conductor neuromorphic engineering organic electrochemical transistor

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Area of Science:

Neuromorphic Engineering
Bioelectronics
Neuroscience

Background:

The von Neumann architecture faces bottlenecks in processing.
Artificial neural networks (ANNs) aim to replicate brain functionality.
Organic electrochemical transistors (OECTs) are emerging as key components for neuromorphic devices.

Purpose of the Study:

To provide a comprehensive review of OECT-based neuromorphic devices.
To highlight the capabilities of OECTs in emulating neuronal and synaptic activities.
To discuss applications in neuromorphic computing and biointerfaces.

Main Methods:

Review of current literature on OECTs for neuromorphic applications.
Analysis of OECT properties like conductivity and flexibility.
Examination of OECT-based neurons, synapses, and integrated systems.

Main Results:

OECTs show promise for emulating neural functions.
Advantages include flexibility, stretchability, and low-voltage operation.
OECTs enable seamless integration with biological systems.

Conclusions:

OECTs are a significant advancement in neuromorphic engineering.
Challenges remain in device optimization and scalability.
Future prospects include enhanced biointerfaces and computing systems.