ArticleNature communications2023
Spintronic leaky-integrate-fire spiking neurons with self-reset and winner-takes-all for 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 15 papers.
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Who cites it
15 citing papers in PubMed.
- Hardware Acceleration of Stochastic Neural Networks Enabled by Bit-Cell Level Co-Design of Magnetic Tunnel Junctions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Engineering and Exploiting Self-Driven Domain Wall Motion in Ferrimagnets for Neuromorphic Computing Applications.Nano letters · 2026Article
- Nanoscale exchange-bias magnetic tunnel junctions enabled memristive synapse and leaky-integrate-fire neuron for neuromorphic computing.Nature communications · 2026Article
- Leaky-Integrate-Fire Neuron via Synthetic Antiferromagnetic Coupling and Spin-Orbit Torque.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Feedback neurons based on perovskite memristor with nickel single-atom engineered reduced graphene oxide cathode.Nature communications · 2026Article
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Harnessing Time-Dependent Magnetic Texture Dynamics via Spin-Orbit Torque for Physics-Enhanced Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- Multilevel Nanoarray Spin-Orbit Torque Device for Process-in-Memory Applications.Nano letters · 2025Article
- Bioinspired high-order in-sensor spatiotemporal enhancement in van der Waals optoelectronic neuromorphic electronics.Nature communications · 2025Article
- All-Electrical Control of Spin Synapses for Neuromorphic Computing: Bridging Multi-State Memory with Quantization for Efficient Neural Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Pattern recognition using spiking antiferromagnetic neurons.Scientific reports · 2024Article
- Antiferromagnetic artificial neuron modeling of the withdrawal reflex.Journal of computational neuroscience · 2024Article
- Domain wall magnetic tunnel junction-based artificial synapses and neurons for all-spin neuromorphic hardware.Nature communications · 2024Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuromorphic computing using nonvolatile memories is expected to tackle the memory wall and energy efficiency bottleneck in the von Neumann system and to mitigate the stagnation of Moore's law. However, an ideal artificial neuron possessing bio-inspired behaviors as exemplified by the requisite leaky-integrate-fire and self-reset (LIFT) functionalities within a single device is still lacking. Here, we report a new type of spiking neuron with LIFT characteristics by manipulating the magnetic domain wall motion in a synthetic antiferromagnetic (SAF) heterostructure. We validate the mechanism of Joule heating modulated competition between the Ruderman-Kittel-Kasuya-Yosida interaction and the built-in field in the SAF device, enabling it with a firing rate up to 17 MHz and energy consumption of 486 fJ/spike. A spiking neuron circuit is implemented with a latency of 170 ps and power consumption of 90.99 μW. Moreover, the winner-takes-all is executed with a current ratio >10
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