ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Analog Signal Summation for Reinforcement Learning via Simultaneous Light-Voltage Modulation in a Synaptic Device.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Analog Signal Summation for Reinforcement Learning via Simultaneous Light-Voltage Modulation in a Synaptic Device.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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Authors and funding
11 authors.
Funding
Abstract
Major breakthroughs in artificial intelligence software have led to significant transformations across various aspects of life. However, hardware development has lagged behind, primarily due to the inherent constraints of the von Neumann architecture. Although neuromorphic devices that utilize biomimetic parallel and analog computations have emerged, they still face limitations in reducing computational load. Therefore, this study proposes a light-voltage dual-modulating synaptic transistor that can significantly lower computational load through device-level computing. This is realized using a hybrid structure of indium-gallium-zinc-oxide and InAs quantum dots, which enable two distinct memory effects ‒ one induced by light and the other by voltage ‒ within a single device. These dual-modulation capabilities are leveraged to demonstrate traffic signal optimization using a Dueling Deep Q-Network, achieving computation performance comparable to ideal software conditions. These findings highlight the potential of the fabricated device for realizing computing systems that require high energy efficiency and computational density.
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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.