ArticleFrontiers in neuroscience2022
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Article
- High-accuracy deep ANN-to-SNN conversion using quantization-aware training framework and calcium-gated bipolar leaky integrate and fire neuron.Frontiers in neuroscience · 2023Article
- N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning.Scientific data · 2022Article
- Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks.Patterns (New York, N.Y.) · 2022Article
- Quantization Framework for Fast Spiking Neural Networks.Frontiers in neuroscience · 2022Article
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3 authors.
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Abstract
The spiking neural network (SNN) computes and communicates information through discrete binary events. Recent work has achieved essential progress on an excellent performance by converting ANN to SNN. Due to the difference in information processing, the converted deep SNN usually suffers serious performance loss and large time delay. In this paper, we analyze the reasons for the performance loss and propose a novel bistable spiking neural network (BSNN) that addresses the problem of the phase lead and phase lag. Also, we design synchronous neurons (SN) to help efficiently improve performance when ResNet structure-based ANNs are converted. BSNN significantly improves the performance of the converted SNN by enabling more accurate delivery of information to the next layer after one cycle. Experimental results show that the proposed method only needs 1/4-1/10 of the time steps compared to previous work to achieve nearly lossless conversion. We demonstrate better ANN-SNN conversion for VGG16, ResNet20, and ResNet34 on challenging datasets including CIFAR-10 (95.16% top-1), CIFAR-100 (78.12% top-1), and ImageNet (72.64% top-1).
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