ArticleNature communications2024
An artificial visual neuron with multiplexed rate and time-to-first-spike coding.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Dynamics and energy encoding of a star-like neuron network composed of the Wang-Zhang model induced by compressing a sphere into a fingertip.Cognitive neurodynamics · 2026Article
- A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Artificial neural manifolds.Nature communications · 2026Article
- Spinal-inspired artificial tactile interneuron with high-order burst spiking for intelligent edge interfaces.Nature communications · 2026Article
- Low-Latency Visuotactile Neuron Using Self-Oscillating Memristor.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Artificial sparse neuron dendrites for visual information inference.Science advances · 2026Article
- High encoding-sensitivity vision sensor with complementary nonlinear neuromorphic computing.Nature communications · 2026Article
- Artificial plateau neurons with in-situ spike-malleability for rhythmic quadrupedal locomotion.Nature communications · 2026Article
- Event-Based Vision at the Edge: A Review.Brain sciences · 2026Review
- 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
- Homogeneous integration of two-dimensional material-based optoelectronic neurons and ferroelectric synapses for neuromorphic vision.Nature communications · 2026Article
- Monolithic cell-on-memristor architecture enables wafer-scale integration of oscillatory chemoreceptors for bio-realistic gustatory chips.Nature materials · 2026Article
- Oxide Semiconductor Thin-Film Transistors for Low-Power Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Neuromorphic Visual Receptive Field Hardware with Vertically Integrated Indium-Gallium-Zinc-Oxide Optoelectronic Memristors over Silicon Neuron Transistors.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Recent advances in spike-based neural coding for tactile perception.Microsystems & nanoengineering · 2025Review
- Thermally Activated Negative Differential Resistance VOACS nano · 2025Article
- Constructing artificial neurons with functional parameters comprehensively matching biological values.Nature communications · 2025Article
- A multisynaptic spiking neuron for simultaneously encoding spatiotemporal dynamics.Nature communications · 2025Article
- Double-opponent spiking neuron array with orientation selectivity for encoding and spatial-chromatic processing.Science advances · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Human visual neurons rely on event-driven, energy-efficient spikes for communication, while silicon image sensors do not. The energy-budget mismatch between biological systems and machine vision technology has inspired the development of artificial visual neurons for use in spiking neural network (SNN). However, the lack of multiplexed data coding schemes reduces the ability of artificial visual neurons in SNN to emulate the visual perception ability of biological systems. Here, we present an artificial visual spiking neuron that enables rate and temporal fusion (RTF) coding of external visual information. The artificial neuron can code visual information at different spiking frequencies (rate coding) and enables precise and energy-efficient time-to-first-spike (TTFS) coding. This multiplexed sensory coding scheme could improve the computing capability and efficacy of artificial visual neurons. A hardware-based SNN with the RTF coding scheme exhibits good consistency with real-world ground truth data and achieves highly accurate steering and speed predictions for self-driving vehicles in complex conditions. The multiplexed RTF coding scheme demonstrates the feasibility of developing highly efficient spike-based neuromorphic hardware.
Indexed as
Identifiers
What OpenQuestion holds
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.