ArticleNature communications2024
Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Integrating neural decoding, memristive materials, and adaptive control frameworks for next-generation hippocampal memory prosthetics.iScience · 2026Review
- Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing.Nano-micro letters · 2026Review
- Bioinspired Photodetectors: From Nature to Advanced Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- All-Optically Controlled Memristive Reservoir Computing Capable of Bipolar and Parallel Coding.Nature communications · 2026Article
- 2D Materials Powering Neuromorphic Intelligence.Nano-micro letters · 2026Review
- Advances in neuroprostheses: interfaces, materials, and applications.Nano convergence · 2026Review
- Polymer-Based Linear and Symmetric Artificial Synaptic Memristors for Accurate and Reliable Neuromorphic Computing Applications.Nanomaterials (Basel, Switzerland) · 2026Review
- Single-molecule neuromorphic device with aJ-level power consumption per switching.Nature communications · 2026Article
- Neuromorphic photonic computing with an electro-optic analog memory.Nature communications · 2026Article
- Synaptic Plasticity Engineering for Neural Precision, Temporal Learning, and Scalable Neuromorphic Systems.Nano-micro letters · 2026Review
- Spikes as perturbations of resonant neural circuits: an RLC framework with testable predictions.Frontiers in computational neuroscience · 2026Article
- Electroactive Proteinoid-Quantum Dot Systems.Small science · 2025Article
- Composite Behavior of Nanopore Array Large Memristors.Micromachines · 2025Article
- A Multimodal Humidity Adaptive Optical Neuron Based on a MoWSAdvanced materials (Deerfield Beach, Fla.) · 2025Article
- A plasmon-electron addressable and CMOS compatible random access memory.Science advances · 2025Article
- Force-Triggered Non-Volatile Multilevel Mechano-Optical Memory System for Logic Computation and Image Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A bioinspired in-materia analog photoelectronic reservoir computing for human action processing.Nature communications · 2025Article
- Actor-critic networks with analogue memristors mimicking reward-based learning.Nature machine intelligence · 2025Article
- Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks.Nature communications · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological neural networks do not only include long-term memory and weight multiplication capabilities, as commonly assumed in artificial neural networks, but also more complex functions such as short-term memory, short-term plasticity, and meta-plasticity - all collocated within each synapse. Here, we demonstrate memristive nano-devices based on SrTiO
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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.