Signed Spiking Neuron Enabled by an Orthogonal-Easy-Axis Magnetic Tunnel Junction
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Abstract (arXiv)
Signed spiking neurons carry richer information than standard spiking neurons. This work proposes a compact magnetic tunnel junction (MTJ)-based neuron for signed leaky integrate-and-fire (LIF) operation. With orthogonal easy axes in the free and pinned layers, the device enables bipolar spike generation and maps magnetic-moment dynamics to signed LIF membrane-potential evolution. Landau--Lifshitz--Gilbert simulations show that proper free-layer dimensions allow the device response to follow a signed LIF equation. A representative design of 10 nm x 45 nm x 50 nm corresponds to an aspect ratio of about 2:9:10. Network evaluations using the fitted device-neuron model achieve 91.06% on CIFAR-10 and 77.40% on CIFAR10-DVS, retaining most of the accuracy of ideal signed LIF neurons.
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References · 6
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2022Spikformer: When Spiking Neural Network Meets Transformercited by 271
- 2023Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNcited by 46
- 2021BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neuronscited by 22
- 2023Neuromorphic Hebbian learning with magnetic tunnel junction synapsescited by 3
- 2020Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functionscited by 2
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