ArticleLight, science & applications2022
Optical synaptic devices with ultra-low power consumption for neuromorphic computing.
Article in Light, science & applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
30 citing papers in PubMed.
- Direct Triboelectric Programming of a Ferroelectric Synaptic Transistor for Neuromorphic Tactile Perception.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- 2D Materials Powering Neuromorphic Intelligence.Nano-micro letters · 2026Review
- Disorder-mediated non-equilibrium photocurrent redistribution enables homeostatic synaptic conditioning in AgBiSNature communications · 2026Article
- Recent Progress in Nanophotonics for Green Energy, Medicine, Healthcare, and Optical Computing Applications.Materials (Basel, Switzerland) · 2026Review
- Dedicated and Reconfigurable Artificial Neurons and Synapses based on Two-Dimensional Materials for Efficient Neuromorphic Application.Nano-micro letters · 2026Review
- Owl-vision-inspired near sensor computing.Nature communications · 2026Article
- Coupled ferroelectric-anisotropic optoelectronic synapse for polarization-sensitive neuromorphic vision.Nature communications · 2026Article
- Revisiting Ferroelectric-Gated Phototransistors: A Tripartite Synapse-Inspired Approach to In-Sensor Image Processing.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- DPP-DTT Nanowire Phototransistors for Optoelectronic Synapses in EMG and ECG Signal Classification.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- A Floating-Gate Photoelectric Synaptic Transistor Utilizing BP/POAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Recent Advances in Optoelectronic Synaptic Devices for Neuromorphic Computing.Biomimetics (Basel, Switzerland) · 2025Review
- A facile photonics reconfigurable memristor with dynamically allocated neurons and synapses functions.Light, science & applications · 2025Article
- Mixed-Dimensional Floating Gate Phototransistors for Mixed-Modal In-Sensor Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- 2D computational photodetectors enabling multidimensional optical information perception.Nature communications · 2025Review
- Topological hysteretic winding for temporal anti-lasing.Nature communications · 2025Article
- Efficient Carbon-Based Optoelectronic Synapses for Dynamic Visual Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Simultaneous achieving negative photoconductivity response and volatile resistive switching in CsLight, science & applications · 2024Article
- Artificial optoelectronic synapse based on CdSe nanobelt photosensitized MoSNanophotonics (Berlin, Germany) · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Brain-inspired neuromorphic computing, featured by parallel computing, is considered as one of the most energy-efficient and time-saving architectures for massive data computing. However, photonic synapse, one of the key components, is still suffering high power consumption, potentially limiting its applications in artificial neural system. In this study, we present a BP/CdS heterostructure-based artificial photonic synapse with ultra-low power consumption. The device shows remarkable negative light response with maximum responsivity up to 4.1 × 10
Identifiers
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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.