Author
Listed:
- Junpeng Ji
(Linköping University)
- Dace Gao
(Linköping University)
- Han-Yan Wu
(Linköping University)
- Miao Xiong
(Linköping University)
- Nevena Stajkovic
(Forschungszentrum Jülich
RWTH Aachen)
- Claudia Latte Bovio
(Istituto Italiano di Tecnologia
Università degli Studi di Napoli Federico II)
- Chi-Yuan Yang
(Linköping University)
- Francesca Santoro
(Forschungszentrum Jülich
RWTH Aachen
Istituto Italiano di Tecnologia)
- Deyu Tu
(Linköping University)
- Simone Fabiano
(Linköping University)
Abstract
Neuromorphic devices that mimic the energy-efficient sensing and processing capabilities of biological neurons hold significant promise for developing bioelectronic systems capable of precise sensing and adaptive stimulus-response. However, current silicon-based technologies lack biocompatibility and rely on operational principles that differ from those of biological neurons. Organic electrochemical neurons (OECNs) address these shortcomings but typically require multiple components, limiting their integration density and scalability. Here, we report a single-transistor OECN (1T–OECN) that leverages the hysteretic switching of organic electrochemical memtransistors (OECmTs) based on poly(benzimidazobenzophenanthroline). By tuning the electrolyte and driving voltage, the OECmTs switch between high- and low-resistance states, enabling action potential generation, dynamic spiking, and logic operations within a single device with dimensions comparable to biological neurons. The compact 1T–OECN design (~180 µm2 footprint) supports high–density integration, achieving over 62,500 neurons/cm2 on flexible substrates. This advancement highlights the potential for scalable, bio-inspired neuromorphic computing and seamless integration with biological systems.
Suggested Citation
Junpeng Ji & Dace Gao & Han-Yan Wu & Miao Xiong & Nevena Stajkovic & Claudia Latte Bovio & Chi-Yuan Yang & Francesca Santoro & Deyu Tu & Simone Fabiano, 2025.
"Single-transistor organic electrochemical neurons,"
Nature Communications, Nature, vol. 16(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59587-4
DOI: 10.1038/s41467-025-59587-4
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59587-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.