ArticleScience advances2023
Broadband sensory networks with locally stored responsivities for neuromorphic machine vision.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Gate-Tunable Polarity-Reconfigurable Photovoltaic Response With Dual Linearity in NbSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- High-linearity all-2D heterojunction-based neuromorphic image-sensing transistor array with a sandwiched tunneling layer for dynamic vision.Nature communications · 2026Article
- Reconfigurable ferroelectric transistor array for embodied neuromorphic vision with hardware-native sensing, computing, and activation.Science advances · 2026Article
- A Scalable Perovskite Platform With Multi-State Photoresponsivity for In-Sensor Saliency Detection.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Toward Intelligent Sensing Systems: Non-Equilibrium Materials as Platforms for AI-Enabled Autonomous Discovery.Sensors (Basel, Switzerland) · 2026Article
- A thousand-state optoelectronic memory for high-precision spatiotemporal encoding.Nature communications · 2026Article
- A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation.Nature communications · 2026Article
- Neuromorphic Visual Receptive Field Hardware with Vertically Integrated Indium-Gallium-Zinc-Oxide Optoelectronic Memristors over Silicon Neuron Transistors.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- In-sensor image memorization, low-level processing, and high-level computing by using above-bandgap photovoltages.Nature communications · 2025Article
- Near-infrared organic photoelectrochemical synaptic transistors by wafer-scale photolithography for neuromorphic visual system.Nature communications · 2025Article
- Polymorphic functionalization driven by ion displacement-induced antiferroelectric ordering in CuBiP₂Se₆.Nature communications · 2025Article
- Heterointerface-Modulated Synthetic Synapses Exhibiting Complex Multiscale Plasticity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- 2D computational photodetectors enabling multidimensional optical information perception.Nature communications · 2025Review
- Rational design of a vision fusion system with visible and near-infrared spectral integration for improved environmental perception.National science review · 2025Article
- Coexistence of WORM and RRAM Resistive Switching in Coumarin Derivatives: A Comprehensive Performance Analysis.ACS omega · 2025Article
- In situ training of an in-sensor artificial neural network based on ferroelectric photosensors.Nature communications · 2025Article
- Perovskite retinomorphic image sensor for embodied intelligent vision.Science advances · 2025Article
- Interface-engineered non-volatile visible-blind photodetector for in-sensor computing.Nature communications · 2025Article
- A Reconfigurable Polarimetric Photodetector Based on the MoSNanomaterials (Basel, Switzerland) · 2024Article
- Multifunctional human visual pathway-replicated hardware based on 2D materials.Nature communications · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the most promising candidates for the implementation of in-sensor computing, retinomorphic vision sensors can constitute built-in neural networks and directly implement multiply-and-accumulation operations using responsivities as the weights. However, existing retinomorphic vision sensors mainly use a sustained gate bias to maintain the responsivity due to its volatile nature. Here, we propose an ion-induced localized-field strategy to develop retinomorphic vision sensors with nonvolatile tunable responsivity in both positive and negative regimes and construct a broadband and reconfigurable sensory network with locally stored weights to implement in-sensor convolutional processing in spectral range of 400 to 1800 nanometers. In addition to in-sensor computing, this retinomorphic device can implement in-memory computing benefiting from the nonvolatile tunable conductance, and a complete neuromorphic visual system involving front-end in-sensor computing and back-end in-memory computing architectures has been constructed, executing supervised and unsupervised learning tasks as demonstrations. This work paves the way for the development of high-speed and low-power neuromorphic machine vision for time-critical and data-intensive applications.
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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.