ArticleNature communications2023
A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Neuromorphic In-Memory Computing for Marine Visual-Auditory Perception.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.Nature communications · 2026Article
- A highly energy-efficient multi-core neuromorphic architecture for training deep spiking neural networks.Nature communications · 2026Article
- Ferroelectricity-modulated asymmetric van der Waals heterostructure for ultralow-power neuromorphic synapse and logic-in-memory operations.Nature communications · 2026Article
- Oxide Semiconductor Thin-Film Transistors for Low-Power Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Intercalation-Induced Phase Transitions in Ferroelectric α-InAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Enhanced 2D MoTeNano letters · 2025Article
- Intrinsically flexible multimode reconfigurable transistors for polymorphic circuits and neuromorphic devices.Nature communications · 2025Article
- Emerging Electrolyte-Gated Transistors: Materials, Configuration and External Field Regulation.Materials (Basel, Switzerland) · 2025Review
- In situ observation of oxygen ion dynamics in topological phase change memristors through self-assembled interface design.Science advances · 2025Article
- Threshold-Switching Memristors for Neuromorphic Thermoreception.Sensors (Basel, Switzerland) · 2025Article
- Electrolyte Gated Transistors for Brain Inspired Neuromorphic Computing and Perception Applications: A Review.Nanomaterials (Basel, Switzerland) · 2025Review
- Double-opponent spiking neuron array with orientation selectivity for encoding and spatial-chromatic processing.Science advances · 2025Article
- Memristive Ion Dynamics to Enable Biorealistic Computing.Chemical reviews · 2025Review
- A Biomimetic Nociceptor Based on a Vertical Multigate, Multichannel Neuromorphic Transistor.ACS nano · 2024Article
- A Near-Infrared Retinomorphic Device with High Dimensionality Reservoir Expression.Advanced materials (Deerfield Beach, Fla.) · 2024Article
- Biomimetic Neuromorphic Sensory System via Electrolyte Gated Transistors.Sensors (Basel, Switzerland) · 2024Review
- Advanced Neuromorphic Applications Enabled by Synaptic Ion-Gating Vertical Transistors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computing, which takes inspiration from the multi-dendritic branch structure of neurons to enhance the processing capability of artificial neural networks. While there has been a recent surge of interest in implementing dendritic computing using emerging devices, achieving artificial dendrites with throughputs and energy efficiency comparable to those of the human brain has proven challenging. In this study, we report on the development of a compact and low-power neurotransistor based on a vertical dual-gate electrolyte-gated transistor (EGT) with short-term memory characteristics, a 30 nm channel length, a record-low read power of ~3.16 fW and a biology-comparable read energy of ~30 fJ. Leveraging this neurotransistor, we demonstrate dendrite integration as well as digital and analog dendritic computing for coincidence detection. We also showcase the potential of neurotransistors in realizing advanced brain-like functions by developing a hardware neural network and demonstrating bio-inspired sound localization. Our results suggest that the neurotransistor-based approach may pave the way for next-generation neuromorphic computing with energy efficiency on par with those of the brain.
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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.