ArticleNature materials2022
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks.
Article in Nature materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.
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96 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
- WSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Adaptive Redox Resistive Memory Programming for Efficient and Robust Class-Incremental Learning.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.Nature communications · 2026Article
- Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Toward Intelligent Sensing Systems: Non-Equilibrium Materials as Platforms for AI-Enabled Autonomous Discovery.Sensors (Basel, Switzerland) · 2026Article
- Ferroelectric Devices for In-Memory and In-Sensor Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Non-pixelated in-materia retinomorphic sensor via photocarrier dynamics for precise spatiotemporal perception.Nature communications · 2026Article
- Hydrogenated perovskite for brain-inspired computing.Nature nanotechnology · 2026Article
- Protonic nickelate device networks for spatiotemporal neuromorphic computing.Nature nanotechnology · 2026Article
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- Pavlov's experiment-inspired optical neural networks based on dual-color fluorescence switching effect.National science review · 2026Article
- Real-Time TEM Observation of the Microstructural Evolution in Silver Nanowires under Heating and Electrical Biasing.ACS applied electronic materials · 2026Article
- Utilizing Cooperative Proton-Electron Mixed Conduction Induced via Chemical Dedoping of Self-Doped Poly(3,4-ethylenedioxythiophene) Nanofilms for In-Material Physical Reservoirs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Memristance and transmemristance in multiterminal memristive systems.Scientific reports · 2026Article
- Self-Rectifying Memristors for Beyond-CMOS Computing: Mechanisms, Materials, and Integration Prospects.Nano-micro letters · 2026Review
- Very-large-scale mimetic optogenetic synapses for physical reservoir computing.Nature communications · 2026Article
- Pruning random resistive memory for optimizing analog AI.Nature communications · 2026Article
- Versatile Metal Phthalocyanine-Based Memristive Nanowire Network: Unraveling the Dynamics of Digital to Analog Switching.Small science · 2026Article
- Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array.Advanced materials (Deerfield Beach, Fla.) · 2026Article
36 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuromorphic computing aims at the realization of intelligent systems able to process information similarly to our brain. Brain-inspired computing paradigms have been implemented in crossbar arrays of memristive devices; however, this approach does not emulate the topology and the emergent behaviour of biological neuronal circuits, where the principle of self-organization regulates both structure and function. Here, we report on in materia reservoir computing in a fully memristive architecture based on self-organized nanowire networks. Thanks to the functional synaptic connectivity with nonlinear dynamics and fading memory properties, the designless nanowire complex network acts as a network-wide physical reservoir able to map spatio-temporal inputs into a feature space that can be analysed by a memristive resistive switching memory read-out layer. Computing capabilities, including recognition of spatio-temporal patterns and time-series prediction, show that the emergent memristive behaviour of nanowire networks allows in materia implementation of brain-inspired computing paradigms characterized by a reduced training cost.
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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.