ArticleNature nanotechnology2020
Power-efficient neural network with artificial dendrites.
Article in Nature nanotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
- A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.npj biomedical innovations · 2026Review
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Organic synapses with programmable linearity for neuromorphic computing.Nature materials · 2026Article
- Artificial sparse neuron dendrites for visual information inference.Science advances · 2026Article
- Homeostatic dendritic neuron based on co-integrated volatile and non-volatile memristors for neuromorphic processing.Nature communications · 2026Article
- Ferroelectricity-modulated asymmetric van der Waals heterostructure for ultralow-power neuromorphic synapse and logic-in-memory operations.Nature communications · 2026Article
- Te/Si Mixed-Dimensional van der Waals Heterojunction for Artificial Bionic Visual Devices.ACS omega · 2026Article
- Reconfigurable In-Sensor Computing Memristor for Olfactory SNN and Reservoir Hybrid Neuromorphic Computing.Research (Washington, D.C.) · 2026Article
- Intrinsically flexible multimode reconfigurable transistors for polymorphic circuits and neuromorphic devices.Nature communications · 2025Article
- Nanoscale Insights into the Dynamics of Conductive Filament Growth/Dissolution in 2D Material-Based Memristors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Recording and modeling of pinched hysteresis loops, the fingerprint of a memristor, in neurons.Scientific reports · 2025Article
- In-material physical computing based on reconfigurable microwire arrays via halide-ion segregation.Nature communications · 2025Article
- Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing.Chemical reviews · 2025Review
- Threshold-Switching Memristors for Neuromorphic Thermoreception.Sensors (Basel, Switzerland) · 2025Article
- Memristive Ion Dynamics to Enable Biorealistic Computing.Chemical reviews · 2025Review
- Bio-Plausible Multimodal Learning with Emerging Neuromorphic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Multifunctional human visual pathway-replicated hardware based on 2D materials.Nature communications · 2024Article
- Adaptative machine vision with microsecond-level accurate perception beyond human retina.Nature communications · 2024Article
- Understanding the Resistive Switching Behaviors of Top Electrode (Au, Cu, and Al)-Dependent TiOACS omega · 2024Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the nervous system, dendrites, branches of neurons that transmit signals between synapses and soma, play a critical role in processing functions, such as nonlinear integration of postsynaptic signals. The lack of these critical functions in artificial neural networks compromises their performance, for example in terms of flexibility, energy efficiency and the ability to handle complex tasks. Here, by developing artificial dendrites, we experimentally demonstrate a complete neural network fully integrated with synapses, dendrites and soma, implemented using scalable memristor devices. We perform a digit recognition task and simulate a multilayer network using experimentally derived device characteristics. The power consumption is more than three orders of magnitude lower than that of a central processing unit and 70 times lower than that of a typical application-specific integrated circuit chip. This network, equipped with functional dendrites, shows the potential of substantial overall performance improvement, for example by extracting critical information from a noisy background with significantly reduced power consumption and enhanced accuracy.
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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.