ArticleAdvanced functional materials2024
Biomolecular Neuristors from Functionalized Lipid Membranes.
Article in Advanced functional materials, 2024. 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.
- Neuromorphic ionic computing in droplet interface synapses.Science advances · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
Modeled after biological neurons, neuristors are emerging hardware that generate recurring voltage spikes in response to electrical stimulation. This type of excitability could enable transistor-free spiking neural networks for efficient signal processing and computing. Yet, prior neuristors consist of circuits containing numerous devices, thus complicating fabrication and increasing size, power usage, and cost. In contrast, we show that a single, 5nm-thick lipid membrane functionalized with voltage-activated peptides functions as a two-terminal, ultra-low power (fW-pW) artificial neuristor in response to supplied current. Specifically, the biomolecular membrane generates stochastic voltage oscillations (10-150 mV) in response to DC currents (|5-40| pA), and is capable of generating two distinct types of action potentials -
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.