Ryoma Hayakawa
(National Institute for Materials Science)
;
Yuho Yamamoto
;
Kosuke Yoshikawa
(National Institute for Materials Science)
;
Yoichi Yamada
;
Yutaka Wakayama
(National Institute for Materials Science)
Description:
(abstract)Neuromorphic computing, a nonvon Neumann architecture, holds promise for low-power, high-efficiency data processing. Herein, we demonstrated reconfigurable artificial synapses using a floating-gate-type organic antiambipolar transistor (FG-OAAT) to mimic biological synapses. The FG-OAAT exhibited a Λ-shaped transfer curve with negative differential transconductance. A two-dimensional continuous Au film was used as the floating gate to induce a large peak voltage shift in the Λ-shaped transfer curve by controlling hole- and electron-trapping processes in the floating gate. This feature enabled reconfigurable synaptic operations. Long-term potentiation/depression, excitatory/inhibitory, and paired-pulse facilitation/depression functions were electrically reconfigured by tuning the charge conditions in the floating gate. These versatile synaptic operations were induced by a consistent presynaptic signal, with fixed polarity, applied voltage, and pulse width. These behaviors closely resembled those of biological synapses, highlighting the potential for a brain-like computing architecture that surpasses current von Neumann systems.
Rights:
Keyword: Reconfigurable artificial synapses, Organic antiambipolar transistor, Floating gate, Negative differential transconductance
Date published: 2025-06-11
Publisher: Royal Society of Chemistry (RSC)
Journal:
Funding:
Manuscript type: Publisher's version (Version of record)
MDR DOI:
First published URL: https://doi.org/10.1039/d5tc01712b
Related item:
Other identifier(s):
Contact agent:
Updated at: 2025-10-21 15:50:09 +0900
Published on MDR: 2025-10-21 15:43:49 +0900
| Filename | Size | |||
|---|---|---|---|---|
| Filename |
d5tc01712b (1).pdf
(Thumbnail)
application/pdf |
Size | 3 MB | Detail |