ArticleScience advances2019
Avalanches and criticality in self-organized nanoscale networks.
Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.
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Who cites it
19 citing papers in PubMed.
- RIFT: A Fractal-Holographic Theory of Consciousness and Autopoietic Control.Brain sciences · 2026Article
- Unveiling the Fundamental Principles of Reconfigurable Resistance States in Silver/Poly(Ethylene Glycol) Nanofluids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Self-organizing neuromorphic nanowire networks as stochastic dynamical systems.Nature communications · 2025Article
- Stable Millivolt Range Resistive Switching in Percolating Molybdenum Nanoparticle Networks.ACS applied materials & interfaces · 2024Article
- Modulation of electrical activity of proteinoid microspheres with chondroitin sulfate clusters.PloS one · 2024Article
- Brain-like hardware, do we need it?Frontiers in neuroscience · 2024Review
- Engineering the structural and electrical interplay of nanostructured Au resistive switching networks by controlling the forming process.Scientific reports · 2023Article
- Online dynamical learning and sequence memory with neuromorphic nanowire networks.Nature communications · 2023Article
- Tomography of memory engrams in self-organizing nanowire connectomes.Nature communications · 2023Article
- Cell-autonomous diversification in bacteria arises from calcium dynamics self-organizing at a critical point.Science advances · 2023Article
- Self-Organized Memristive Ensembles of Nanoparticles Below the Percolation Threshold: Switching Dynamics and Phase Field Description.Nanomaterials (Basel, Switzerland) · 2023Article
- A distributed nanocluster based multi-agent evolutionary network.Nature communications · 2022Article
- Brain-like critical dynamics and long-range temporal correlations in percolating networks of silver nanoparticles and functionality preservation after integration of insulating matrix.Nanoscale advances · 2022Article
- Dynamical stochastic simulation of complex electrical behavior in neuromorphic networks of metallic nanojunctions.Scientific reports · 2022Article
- Avalanches and edge-of-chaos learning in neuromorphic nanowire networks.Nature communications · 2021Article
- Information dynamics in neuromorphic nanowire networks.Scientific reports · 2021Article
- Avalanche criticality during ferroelectric/ferroelastic switching.Nature communications · 2021Article
- Anomalous electrical conduction and negative temperature coefficient of resistance in nanostructured gold resistive switching films.Scientific reports · 2020Article
- Long-range temporal correlations in scale-free neuromorphic networks.Network neuroscience (Cambridge, Mass.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current efforts to achieve neuromorphic computation are focused on highly organized architectures, such as integrated circuits and regular arrays of memristors, which lack the complex interconnectivity of the brain and so are unable to exhibit brain-like dynamics. New architectures are required, both to emulate the complexity of the brain and to achieve critical dynamics and consequent maximal computational performance. We show here that electrical signals from self-organized networks of nanoparticles exhibit brain-like spatiotemporal correlations and criticality when fabricated at a percolating phase transition. Specifically, the sizes and durations of avalanches of switching events are power law distributed, and the power law exponents satisfy rigorous criteria for criticality. These signals are therefore qualitatively and quantitatively similar to those measured in the cortex. Our self-organized networks provide a low-cost platform for computational approaches that rely on spatiotemporal correlations, such as reservoir computing, and are an important step toward creating neuromorphic device architectures.
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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.