journal article·2024-07

Bio‐Inspired Organic Synaptor with In Situ Ion‐Doped Ultrathin Polyelectrolyte Containing Acetylcholine‐Like Cation

Ji‐Man Yu, Youson Kim, Changhyeon Lee, Booseok Jeong, Jin‐Ki Kim, Joon‐Kyu Han, Junyeong Yang, Seong‐Yun Yun, Sung Gap Im, Yang‐Kyu Choi

Small· Volume 20· Issue 30
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Abstract

Abstract An ion‐based synaptic transistor (synaptor) is designed to emulate a biological synapse using controlled ion movements. However, developing a solid‐state electrolyte that can facilitate ion movement while achieving large‐scale integration remains challenging. Here, a bio‐inspired organic synaptor (BioSyn) with an in situ ion‐doped polyelectrolyte (i‐IDOPE) is demonstrated. At the molecular scale, a polyelectrolyte containing the tert‐amine cation, inspired by the neurotransmitter acetylcholine is synthesized using initiated chemical vapor deposition (iCVD) with in situ doping, a one‐step vapor‐phase deposition used to fabricate solid‐state electrolytes. This method results in an ultrathin, but highly uniform and conformal solid‐state electrolyte layer compatible with large‐scale integration, a form that is not previously attainable. At a synapse scale, synapse functionality is replicated, including short‐term and long‐term synaptic plasticity (STSP and LTSP), along with a transformation from STSP to LTSP regulated by pre‐synaptic voltage spikes. On a system scale, a reflex in a peripheral nervous system is mimicked by mounting the BioSyns on various substrates such as rigid glass, flexible polyethylene naphthalate, and stretchable poly(styrene‐ethylene‐butylene‐styrene) for a decentralized processing unit. Finally, a classification accuracy of 90.6% is achieved through semi‐empirical simulations of MNIST pattern recognition, incorporating the measured LTSP characteristics from the BioSyns.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of Korea

Department of Chemical and Biomolecular Engineering KAIST 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of Korea

System Semiconductor Engineering and Department of Electronic Engineering Sogang University 35 Baekbeom‐ro, Mapo‐gu Seoul 04107 Republic of Korea

Funding

National Research Foundation of Korea · KAIST Wearable Platform Material Technology Center

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