ArticleNature communications2024
Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics.
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 21 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
21 citing papers in PubMed.
- Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Self-Oscillatory Neuron-like Devices for Unconventional Computing Applications.Chemical reviews · 2026Review
- Collective behavior and memory states in flow networks with tunable bistability.Nature communications · 2026Article
- Organic Transistor-Based Neuromorphic Electronics and Their Recent Applications.Small methods · 2026Review
- Self-Powered Neuromorphic Touch Sensors Based on Triboelectric Devices: Current Approaches and Open Challenges.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Monolithic cell-on-memristor architecture enables wafer-scale integration of oscillatory chemoreceptors for bio-realistic gustatory chips.Nature materials · 2026Article
- Bridged artificial neurons based on memristor circuit for spiking propagation network and coincidence detection.iScience · 2026Article
- Organic Electrochemical Neurons: Nonlinear Tools for Complex Dynamics.ACS applied electronic materials · 2025Article
- Organic Mixed Ionic-Electronic Conductors for Organic Electrochemical Transistors: Sidechain Structure Influences Ion Uptake and Functional Performance.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025Review
- Neural vs Neuromorphic Interfaces: Where Are We Standing?Chemical reviews · 2025Review
- A one-transistor organic electrochemical self-sustained oscillator model for neuromorphic networks.Newton ((New York, N.Y.) · 2025Article
- Organic Electrochemical Transistors Monolithically Integrated with Precise Micro-Dispensing Enable High-Performance Biosignals Amplification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- Performance-Recoverable Closed-Loop Neuroprosthetic System.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Biohybrid Computing with Proteinoids and Algae.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Single-transistor organic electrochemical neurons.Nature communications · 2025Article
- Bifurcation and Frequency Properties of S-Type Neuronic Oscillators.The journal of physical chemistry letters · 2025Review
- Additive Manufacturing of Organic Electrochemical Transistors: Methods, Device Architectures, and Emerging Applications.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Algal polysaccharide Sacran-based conductive nanocomposites for ultrathin flexible and biodegradable organic electrochemical transistors.Npj flexible electronics · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Organic artificial neurons operating in liquid environments are crucial components in neuromorphic bioelectronics. However, the current understanding of these neurons is limited, hindering their rational design and development for realistic neuronal emulation in biological settings. Here we combine experiments, numerical non-linear simulations, and analytical tools to unravel the operation of organic artificial neurons. This comprehensive approach elucidates a broad spectrum of biorealistic behaviors, including firing properties, excitability, wetware operation, and biohybrid integration. The non-linear simulations are grounded in a physics-based framework, accounting for ion type and ion concentration in the electrolytic medium, organic mixed ionic-electronic parameters, and biomembrane features. The derived analytical expressions link the neurons spiking features with material and physical parameters, bridging closer the domains of artificial neurons and neuroscience. This work provides streamlined and transferable guidelines for the design, development, engineering, and optimization of organic artificial neurons, advancing next generation neuronal networks, neuromorphic electronics, and bioelectronics.
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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.