ArticleSmall methods2025
Ultralow-Power Peptide-Based Memristor Enabled by Emulation of Proton-Mediated Synaptic Signaling.
Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Ultralow-Power Peptide-Based Memristor Enabled by Emulation of Proton-Mediated Synaptic Signaling.Small methods · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
The substantial power consumption of traditional computing architectures, arising from the physical separation of memory and processing units, has motivated the exploration of neuromorphic systems that emulate the remarkable energy efficiency of the human brain. However, artificial neural networks implemented on neuromorphic devices still require billions of weight updates, and conventional devices typically consume power in the milliwatt range per switching event, posing a significant challenge even for neuromorphic systems. In this study, a synapse-like memristive device utilizing a tyrosine-rich peptide is presented as the resistive switching layer. By emulating proton-mediated signaling of biological synapses, the device leverages proton-electron dual-carrier transport enabled by the redox-active properties of tyrosine to realize ultralow-power resistive switching. Proton modulation is implemented through two methods: i) exposure to external humidity and ii) electrically driven injection using a PdH
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Registered trials
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