ArticleScience advances2025
Perovskite retinomorphic image sensor for embodied intelligent vision.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Strategies for Boosting Performance of Perovskite Photodetectors: Synergistic Material and Device Optimization for Advanced Applications.Nano-micro letters · 2026Review
- Low-Voltage Resistive Switching and Synaptic Plasticity in Cs2AgBiBr6 Memristors.ACS applied materials & interfaces · 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
- Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes.Nature communications · 2026Article
- Photo-Rewritable Ambipolar Organic Electrochemical Synapses with Bidirectional Optical Plasticity for Adaptive Vision in Aqueous Environments.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Spin-selective heterogeneous chiral perovskites for circular-polarization-resolved retinomorphic sensors.Nature communications · 2026Article
- Droplet-Engineered Scalable High-Throughput Perovskite Micropatterning for Next-Generation Optoelectronics.ACS nano · 2026Review
- A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation.Nature communications · 2026Article
- Ultra-wide spectrum photosynapse array with 64k-scale for neuromorphic fusion imaging.Nature communications · 2026Article
- Direct integration of optoelectronic arrays with arbitrary non-developable structures.Nature materials · 2025Article
- Recent progress in the patterning of perovskite films for photodetector applications.Light, science & applications · 2025Review
- Recent Advancements and Perspectives of Low-Dimensional Halide Perovskites for Visual Perception and Optoelectronic Applications.Nano-micro letters · 2025Review
- Multi-dimensional visual information processing under complex light environments using time-evolved polarization-sensitive synaptic electronics.Nature communications · 2025Article
- UV-Vis-NIR Broadband Dual-Mode Photodetector Based on Graphene/InP Van Der Waals Heterostructure.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities. The retinomorphic sensor array, using a one photodetector-one transistor geometry to resemble retinal circuit with broadband, ultrahigh, and reconfigurable photoresponsivities, executes both adaptive imaging with a contrast enhancement of ~620% under a dim-lit intensity of 10 microwatts per square centimeter and an instantaneous one-dimensional feature extraction algorithm to decompose the origin visual scenarios into parsimoniously encoded spatiotemporal information. This retinomorphic system endows embodied intelligence with adaptive imaging, in situ processing, and decision-making capabilities and promises enormous potential for autonomous robot 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.