ArticleScientific reports2016
Emulating short-term synaptic dynamics with memristive devices.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Coexisting Volatile and Nonvolatile Switching in 3D ALD-IGZO Vertical RRAM for Fully Hardware-Based Wide Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Grain-Size-Controlled Resistive Switching Memories Enabling Domain-Specific Functionality for Real-Time Video Signal Processing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Memristor Synapse-A Device-Level Critical Review.Nanomaterials (Basel, Switzerland) · 2026Review
- Neural vs Neuromorphic Interfaces: Where Are We Standing?Chemical reviews · 2025Review
- Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping.Sensors (Basel, Switzerland) · 2025Article
- Artificial sensory system based on memristive devices.Exploration (Beijing, China) · 2024Review
- All-Printed Flexible Memristor with Metal-Non-Metal-Doped TiONanomaterials (Basel, Switzerland) · 2022Article
- Palimpsest memories stored in memristive synapses.Science advances · 2022Article
- Memristive Hodgkin-Huxley Spiking Neuron Model for Reproducing Neuron Behaviors.Frontiers in neuroscience · 2021Article
- Advances of RRAM Devices: Resistive Switching Mechanisms, Materials and Bionic Synaptic Application.Nanomaterials (Basel, Switzerland) · 2020Review
- A dual mode electronic synapse based on layered SnSe films fabricated by pulsed laser deposition.Nanoscale advances · 2020Article
- A Neuromorphic Device Implemented on a Salmon-DNA Electrolyte and its Application to Artificial Neural Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Memristive stochastic plasticity enables mimicking of neural synchrony: Memristive circuit emulates an optical illusion.Science advances · 2017Article
- Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses.Nature communications · 2016Article
- Orientation selectivity in a multi-gated organic electrochemical transistor.Scientific reports · 2016Article
- Simulation of synaptic short-term plasticity using Ba(CF3SO3)2-doped polyethylene oxide electrolyte film.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine biological fidelity. Here we demonstrate that single solid-state TiO2 memristors can exhibit non-associative plasticity phenomena observed in biological synapses, supported by their metastable memory state transition properties. We show that, contrary to conventional uses of solid-state memory, the existence of rate-limiting volatility is a key feature for capturing short-term synaptic dynamics. We also show how the temporal dynamics of our prototypes can be exploited to implement spatio-temporal computation, demonstrating the memristors full potential for building biophysically realistic neural processing systems.
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