ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.
Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Solution-Processed Multi-Junction Optoelectronic Synapses for Mode-Switchable SWIR Neuromorphic Vision Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Multiscale Manufacturing of Organic Electronic Materials.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Angstrom-fluidic chemical synapses for accurate cancer diagnosis.Nature communications · 2026Article
- Self-Powered Flexible Triboelectric-Gated Ion-Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Dopamine-Mediated Analog Control of Electrochromic Reactions Through Organic Electrochemical Transistor.Small science · 2026Article
- Intrinsically stretchable all-polymer neuromorphic visual adaptive transistors based on multidimensional-phase-separation-induced micromesh.Nature communications · 2026Article
- Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Retina-Inspired 2D Semiconductor NIR Sensor with PRO Architecture for Photodetection.ACS nano · 2026Article
- Self-Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Memristor-Based Spiking Neuromorphic Systems Toward Brain-Inspired Perception and Computing.Nanomaterials (Basel, Switzerland) · 2025Review
- Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Inspired by the extensive signal processing capabilities of the human nervous system, neuromorphic artificial sensory systems have emerged as a pivotal technology in advancing brain-like computing for applications in humanoid robotics, prosthetics, and wearable technologies. These systems mimic the functionalities of the central and peripheral nervous systems through the integration of sensory synaptic devices and neural network algorithms, enabling external stimuli to be converted into actionable electrical signals. This review delves into the intricate relationship between synaptic device technologies and neural network processing algorithms, highlighting their mutual influence on artificial intelligence capabilities. This study explores the latest advancements in artificial synaptic properties triggered by various stimuli, including optical, auditory, mechanical, and chemical inputs, and their subsequent processing through artificial neural networks for applications in image recognition and multimodal pattern recognition. The discussion extends to the emulation of biological perception via artificial synapses and concludes with future perspectives and challenges in neuromorphic system development, emphasizing the need for a deeper understanding of neural network processing to innovate and refine these complex systems.
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.