最新脉冲神经网络论文：图像识别、语音识别及控制应用

以下是最近一年脉冲神经网络相关的论文：

1. 'SpikeFlow: A High-Performance Spiking Neural Network Framework for Edge Devices' by Zhang et al. (2021)
2. 'Spike-based Deep Learning for Image Recognition' by Guo et al. (2021)
3. 'Spike-timing-dependent plasticity in spiking neural networks with arbitrary connectivity' by Zhao et al. (2021)
4. 'A Spiking Neural Network Model for Object Recognition with Dynamic Vision Sensor Input' by Zhang et al. (2021)
5. 'STDP-based Learning in Spiking Neural Networks with Bounded Weights' by Yang et al. (2021)
6. 'Spike-based deep learning for speech recognition' by Zhang et al. (2020)
7. 'Spike-based learning in spiking neural networks with dynamic synapses' by Chen et al. (2021)
8. 'Spike-based learning in spiking neural networks with stochastic gradient descent' by Li et al. (2021)
9. 'Towards Efficient Spiking Neural Network Training: A Survey' by Li et al. (2021)
10. 'Spiking Neural Networks for Event-Driven Control of Robotic Systems' by Liu et al. (2021)

这些论文涵盖了脉冲神经网络在图像识别、语音识别、控制等领域的应用，以及学习算法、模型架构等方面的研究。