Memristor-Based Binarized Spiking Neural Networks: Challenges and applications
IEEE Nanotechnology Magazine（2022）
摘要
Memristive arrays are a natural fit to implement spiking neural network (SNN) acceleration. Representing information as digital spiking events can improve noise margins and tolerance to device variability compared to analog bitline current summation approaches to multiply–accumulate (MAC) operations. Restricting neuron activations to single-bit spikes also alleviates the significant analog-to-digi...
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关键词
Artificial neural networks,Neurons,Random access memory,Memristors,Deep learning,Hardware,Costs
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