ArticleNature communications2016
Real-time encoding and compression of neuronal spikes by metal-oxide memristors.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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
26 citing papers in PubMed.
- Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Memristor Synapse-A Device-Level Critical Review.Nanomaterials (Basel, Switzerland) · 2026Review
- Neural vs Neuromorphic Interfaces: Where Are We Standing?Chemical reviews · 2025Review
- Transparent Zinc Oxide Memristor Structures: Magnetron Sputtering of Thin Films, Resistive Switching Investigation, and Crossbar Array Fabrication.Nanomaterials (Basel, Switzerland) · 2024Article
- Single-trial detection of auditory cues from the rat brain using memristors.Science advances · 2024Article
- Article
- Ferroelectric artificial synapse for neuromorphic computing and flexible applications.Fundamental research · 2023Article
- Palimpsest memories stored in memristive synapses.Science advances · 2022Article
- A framework for the general design and computation of hybrid neural networks.Nature communications · 2022Article
- Memristor-Based Neuromodulation Device for Real-Time Monitoring and Adaptive Control of Neuronal Populations.ACS applied electronic materials · 2022Article
- From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings.Frontiers in neuroinformatics · 2022Review
- Multichannel parallel processing of neural signals in memristor arrays.Science advances · 2020Article
- Neural signal analysis with memristor arrays towards high-efficiency brain-machine interfaces.Nature communications · 2020Article
- Natural compounds attenuate heavy metal-induced PC12 cell damage.The Journal of international medical research · 2020Article
- Bioinspired bio-voltage memristors.Nature communications · 2020Article
- Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier.Sensors (Basel, Switzerland) · 2020Article
- Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics.Frontiers in neuroscience · 2020Article
- Memristive TiOFrontiers in chemistry · 2020Review
- On-Chip TaOFrontiers in neuroscience · 2020Article
- Seamlessly fused digital-analogue reconfigurable computing using memristors.Nature communications · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advanced brain-chip interfaces with numerous recording sites bear great potential for investigation of neuroprosthetic applications. The bottleneck towards achieving an efficient bio-electronic link is the real-time processing of neuronal signals, which imposes excessive requirements on bandwidth, energy and computation capacity. Here we present a unique concept where the intrinsic properties of memristive devices are exploited to compress information on neural spikes in real-time. We demonstrate that the inherent voltage thresholds of metal-oxide memristors can be used for discriminating recorded spiking events from background activity and without resorting to computationally heavy off-line processing. We prove that information on spike amplitude and frequency can be transduced and stored in single devices as non-volatile resistive state transitions. Finally, we show that a memristive device array allows for efficient data compression of signals recorded by a multi-electrode array, demonstrating the technology's potential for building scalable, yet energy-efficient on-node processors for brain-chip interfaces.
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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.