标题/作者	年份
Memory devices and applications for in-memory computing A Sebastian, M Le Gallo, R Khaddam-Aljameh, E Eleftheriou Nature nanotechnology 15 (7), 529-544	2020
Towards spike-based machine intelligence with neuromorphic computing K Roy, A Jaiswal, P Panda Nature 575 (7784), 607-617	2019
Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural networks 111, 47-63	2019
Deep learning with spiking neurons: Opportunities and challenges M Pfeiffer, T Pfeil Frontiers in neuroscience 12, 774	2018
Enabling spike-based backpropagation for training deep neural network architectures C Lee, SS Sarwar, P Panda, G Srinivasan, K Roy Frontiers in neuroscience, 119	2020
Bindsnet: A machine learning-oriented spiking neural networks library in python H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ... Frontiers in neuroinformatics 12, 89	2018
Incorporating learnable membrane time constant to enhance learning of spiking neural networks W Fang, Z Yu, Y Chen, T Masquelier, T Huang, Y Tian Proceedings of the IEEE/CVF international conference on computer vision …	2021
A review of learning in biologically plausible spiking neural networks A Taherkhani, A Belatreche, Y Li, G Cosma, LP Maguire, TM McGinnity Neural Networks 122, 253-272	2020
Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network B Han, G Srinivasan, K Roy Proceedings of the IEEE/CVF conference on computer vision and pattern …	2020
Spiking neural networks hardware implementations and challenges: A survey M Bouvier, A Valentian, T Mesquida, F Rummens, M Reyboz, E Vianello, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 15 (2), 1-35	2019
BP-STDP: Approximating backpropagation using spike timing dependent plasticity A Tavanaei, A Maida Neurocomputing 330, 39-47	2019
Temporal backpropagation for spiking neural networks with one spike per neuron SR Kheradpisheh, T Masquelier International Journal of Neural Systems 30 (06), 2050027	2020
Conversion of analog to spiking neural networks using sparse temporal coding B Rueckauer, SC Liu 2018 IEEE international symposium on circuits and systems (ISCAS), 1-5	2018
Supervised learning in spiking neural networks: A review of algorithms and evaluations X Wang, X Lin, X Dang Neural Networks 125, 258-280	2020
Training deep spiking convolutional neural networks with stdp-based unsupervised pre-training followed by supervised fine-tuning C Lee, P Panda, G Srinivasan, K Roy Frontiers in neuroscience 12, 435	2018
First-spike-based visual categorization using reward-modulated STDP M Mozafari, SR Kheradpisheh, T Masquelier, A Nowzari-Dalini, ... IEEE transactions on neural networks and learning systems 29 (12), 6178-6190	2018
Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization SR Kulkarni, B Rajendran Neural Networks 103, 118-127	2018
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks M Mozafari, M Ganjtabesh, A Nowzari-Dalini, SJ Thorpe, T Masquelier Pattern recognition 94, 87-95	2019
An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data E Stromatias, M Soto, T Serrano-Gotarredona, B Linares-Barranco Frontiers in neuroscience 11, 350	2017
Deep spiking convolutional neural network trained with unsupervised spike-timing-dependent plasticity C Lee, G Srinivasan, P Panda, K Roy IEEE Transactions on Cognitive and Developmental Systems 11 (3), 384-394	2018

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