ArticleNature communications2021
Bioinspired multisensory neural network with crossmodal integration and recognition.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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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.
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Who cites it
36 citing papers in PubMed, 210 citations in OpenAlex.
- Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration.Nature communications · 2026Article
- Seamless Human-Computer Interaction Enabled by Wearable Biointerfaces and Intelligent Systems.Biomimetics (Basel, Switzerland) · 2026Review
- Organic Transistor-Based Neuromorphic Electronics and Their Recent Applications.Small methods · 2026Review
- Multisensory Neuromorphic Devices: From Physics to Integration.Nano-micro letters · 2026Review
- Low-Power Perovskite-Based Memristors Enable Fused Reservoir Computing and Neuromorphic Vision with Highly Accurate Color Perception.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- High-throughput design of optoelectronic-ferroelectric heterostructure from materials to sensor-memory-computing devices.National science review · 2026Article
- From Gaze to Music: AI-Powered Personalized Audiovisual Experiences for Children's Aesthetic Education.Behavioral sciences (Basel, Switzerland) · 2025Article
- Recent advances in spike-based neural coding for tactile perception.Microsystems & nanoengineering · 2025Review
- 2D Tellurene-Based Optoelectronic Memristor with Temporal Dynamics for Multimodal Reservoir Computing System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Artificial Nervous Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Two-Dimensional MXene-Based Advanced Sensors for Neuromorphic Computing Intelligent Application.Nano-micro letters · 2025Review
- Memristor-Based Spiking Neuromorphic Systems Toward Brain-Inspired Perception and Computing.Nanomaterials (Basel, Switzerland) · 2025Review
- Emulating sensation by bridging neuromorphic computing and multisensory integration.Patterns (New York, N.Y.) · 2025Review
- Multi-Feature Facial Complexion Classification Algorithms Based on CNN.Biomimetics (Basel, Switzerland) · 2025Article
- Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Alphabet Handwriting Recognition: From Wood-Framed Hydrogel Arrays Design to Machine Learning Decoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Brain-inspired multisensory integration neural network for cross-modal recognition through spatiotemporal dynamics and deep learning.Cognitive neurodynamics · 2024Article
- Highly Promising 2D/1D BP-C/CNT Bionic Opto-Olfactory Co-Sensory Artificial Synapses for Multisensory Integration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Advanced Neuromorphic Applications Enabled by Synaptic Ion-Gating Vertical Transistors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Additive Manufacturing Provides Infinite Possibilities for Self-Sensing Technology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration and interaction of vision, touch, hearing, smell, and taste in the human multisensory neural network facilitate high-level cognitive functionalities, such as crossmodal integration, recognition, and imagination for accurate evaluation and comprehensive understanding of the multimodal world. Here, we report a bioinspired multisensory neural network that integrates artificial optic, afferent, auditory, and simulated olfactory and gustatory sensory nerves. With distributed multiple sensors and biomimetic hierarchical architectures, our system can not only sense, process, and memorize multimodal information, but also fuse multisensory data at hardware and software level. Using crossmodal learning, the system is capable of crossmodally recognizing and imagining multimodal information, such as visualizing alphabet letters upon handwritten input, recognizing multimodal visual/smell/taste information or imagining a never-seen picture when hearing its description. Our multisensory neural network provides a promising approach towards robotic sensing and perception.
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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.