ReviewScience and technology of advanced materials2023
Recent advances in neuromorphic transistors for artificial perception applications: FOCUS ISSUE REVIEW.
Review in Science and technology of advanced materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 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
9 citing papers in PubMed, 46 citations in OpenAlex.
- Organic semiconductor materials for neuromorphic and bioelectronic systems design rules and applications.iScience · 2026Review
- Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Devices, Functions, and Applications of Artificial Neuromorphic Visual Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Additive Manufacturing of Neuromorphic Systems.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Electrolyte Gated Transistors for Brain Inspired Neuromorphic Computing and Perception Applications: A Review.Nanomaterials (Basel, Switzerland) · 2025Review
- Guanine-based spin valve with spin rectification effect for an artificial memory element.Heliyon · 2025Article
- Enhanced Synaptic Behaviors in Chitosan Electrolyte-Based Electric-Double-Layer Transistors with Poly-Si Nanowire Channel Structures.Biomimetics (Basel, Switzerland) · 2023Article
- Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks.Science and technology of advanced materials · 2023Review
- Foreword to the focus issue: materials and technologies for memristors and neuromorphic devices.Science and technology of advanced materials · 2023Article
Corrections and comments
- Erratum issuedCorrection.2023
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning. Delightedly, rapid developments in neuromorphic computing provide a new paradigm to solve this dilemma. Furthermore, neuromorphic devices that can realize synaptic plasticity and neuromorphic function have extraordinary significance for neuromorphic system. A three-terminal neuromorphic transistor is one of the typical representatives. In addition, human body has five senses, including vision, touch, auditory sense, olfactory sense and gustatory sense, providing abundant information for brain. Inspired by the human perception system, developments in artificial perception system will give new vitality to intelligent robots. This review discusses the operation mechanism, function and application of neuromorphic transistors. The latest progresses in artificial perception systems based on neuromorphic transistors are provided. Finally, the opportunities and challenges of artificial perception systems are summarized.
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.