ArticleNano letters2024
Electronically Reconfigurable Memristive Neuron Capable of Operating in Both Excitation and Inhibition Modes.
Article in Nano letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- Noise-Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency-Selective Time-Series Signal Encoding.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Nanoscale photonic artificial neuron with biological signal processing.Nature communications · 2026Article
- Recent Advances and Perspectives on Field-Effect Transistors for Artificial Visual Neuromorphic Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Analog Switching in Hexagonal Boron Nitride Memristors via Multiple Nano-Filaments Confinement.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors.Nature communications · 2025Article
- A Plasmonic Optoelectronic Resistive Random-Access Memory for In-Sensor Color Image Cryptography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Memristor-based model of neuronal excitability and synaptic potentiation.Frontiers in neuroscience · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Threshold switching (TS) memristors are promising candidates for artificial neurons in neuromorphic systems. However, they often lack biological plausibility, typically functioning solely in an excitation mode. The absence of an inhibitory mode limits neurons' ability to synergistically process both excitatory and inhibitory synaptic signals. To address this limitation, we propose a novel memristive neuron capable of operating in both excitation and inhibition modes. The memristor's threshold voltage can be reversibly tuned using voltages of different polarities because of its bipolar TS behavior, enabling the device to function as an electronically reconfigurable bi-mode neuron. A variety of neuronal activities such as all-or-nothing behavior and tunable firing probability are mimicked under both excitatory and inhibitory stimuli. Furthermore, we develop a self-adaptive neuromorphic vision sensor based on bi-mode neurons, demonstrating effective object recognition in varied lighting conditions. Thus, our bi-mode neuron offers a versatile platform for constructing neuromorphic systems with rich functionality.
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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.