ArticleScience advances2024
Thin-film transistor for temporal self-adaptive reservoir computing with closed-loop architecture.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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Who cites it
16 citing papers in PubMed.
- Ultralow-Energy Analog Reservoir Computing via Reconfigurable 2-Transistor Memory.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Light-tunable charge dynamics enable ultralow-power bidirectional lead-free perovskite synapses for intelligent vision.Science advances · 2026Article
- Coexisting Volatile and Nonvolatile Switching in 3D ALD-IGZO Vertical RRAM for Fully Hardware-Based Wide Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- 940 Nm Near-Infrared Photosynapses Based on Sn─Pb Perovskite for Efficient Face Recognition.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- All-Optically Controlled Memristive Reservoir Computing Capable of Bipolar and Parallel Coding.Nature communications · 2026Article
- Programmable memtransistor array with temporal dynamics modulation for efficient time-series data processing.Nature communications · 2026Article
- Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Very-large-scale mimetic optogenetic synapses for physical reservoir computing.Nature communications · 2026Article
- Coplanar Floating-Gate Antiferroelectric Transistor with Multifunctionality for All-in-One Analog Reservoir Computing.Nano-micro letters · 2026Article
- Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Re-Purposing a Modular Origami Manipulator Into an Adaptive Physical Computer for Machine Learning and Robotic Perception.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Two Orders of Magnitude Reduction in Computational Load Achieved by Ultrawideband Responses of an Ion-Gating Reservoir.ACS nano · 2025Article
- Versatile and Robust Reservoir Computing with PWM-Driven Heterogenous R-C Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors.Nature communications · 2025Article
- Multi-dimensional visual information processing under complex light environments using time-evolved polarization-sensitive synaptic electronics.Nature communications · 2025Article
- A bioinspired in-materia analog photoelectronic reservoir computing for human action processing.Nature communications · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reservoir computing is a powerful neural network-based computing paradigm for spatiotemporal signal processing. Recently, physical reservoirs have been explored based on various electronic devices with outstanding efficiency. However, the inflexible temporal dynamics of these reservoirs have posed fundamental restrictions in processing spatiotemporal signals with various timescales. Here, we fabricated thin-film transistors with controllable temporal dynamics, which can be easily tuned with electrical operation signals and showed excellent cycle-to-cycle uniformity. Based on this, we constructed a temporal adaptive reservoir capable of extracting temporal information of multiple timescales, thereby achieving improved accuracy in the human-activity-recognition task. Moreover, by leveraging the former computing output to modify the hyperparameters, we constructed a closed-loop architecture that equips the reservoir computing system with temporal self-adaptability according to the current input. The adaptability is demonstrated by accurate real-time recognition of objects moving at diverse speed levels. This work provides an approach for reservoir computing systems to achieve real-time processing of spatiotemporal signals with compound temporal characteristics.
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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.