ArticleScience advances2024
Synaptic-like plasticity in 2D nanofluidic memristor from competitive bicationic transport.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Instability-driven electrohydrodynamic neurons for probabilistic computing.Nature communications · 2026Article
- Bioinspired Nanofluidic Memristors Based on Polyelectrolyte Conformation for Synaptic Learning and in-Memory Logic Computing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Article
- Leveraging Electrochemical Diversity in Engineering Liquid-State Ionic Devices for Neuromorphic Computing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Diffusive to Barrier-Limited Transition in the Aqueous Ion Transport through Nanoporous 2D Materials.The journal of physical chemistry. B · 2025Article
- Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing.Research (Washington, D.C.) · 2025Review
- An Integrated Monolithic Synaptic Device for C-Tactile Afferent Perception and Robot Emotional Interaction.Cyborg and bionic systems (Washington, D.C.) · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synaptic plasticity, the dynamic tuning of signal transmission strength between neurons, serves as a fundamental basis for memory and learning in biological organisms. This adaptive nature of synapses is considered one of the key features contributing to the superior energy efficiency of the brain. Here, we use molecular dynamics simulations to demonstrate synaptic-like plasticity in a subnanoporous two-dimensional membrane. We show that a train of voltage spikes dynamically modifies the membrane's ionic permeability in a process involving competitive bicationic transport. This process is shown to be repeatable after a given resting period. Because of a combination of subnanometer pore size and the atomic thinness of the membrane, this system exhibits energy dissipation of 0.1 to 100 aJ per voltage spike, which is several orders of magnitude lower than 0.1 to 10 fJ per spike in the human synapse. We reveal the underlying physical mechanisms at molecular detail and investigate the local energetics underlying this apparent synaptic-like behavior.
Identifiers
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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 Socratic graph.