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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Emre Neftci, Charles Augustine, Somnath Paul, et al.
Frontiers in Neuroscience (2017) Vol. 11
Open Access | Times Cited: 218

Showing 1-25 of 218 citing articles:

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Mike Davies, Narayan Srinivasa, Tsung-Han Lin, et al.
IEEE Micro (2018) Vol. 38, Iss. 1, pp. 82-99
Closed Access | Times Cited: 2928
Towards spike-based machine intelligence with neuromorphic computing
Kaushik Roy, Akhilesh Jaiswal, Priyadarshini Panda
Nature (2019) Vol. 575, Iss. 7784, pp. 607-617
Closed Access | Times Cited: 1397
Deep learning in spiking neural networks
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, et al.
Neural Networks (2018) Vol. 111, pp. 47-63
Open Access | Times Cited: 1014
Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks
Emre Neftci, Hesham Mostafa, Friedemann Zenke
IEEE Signal Processing Magazine (2019) Vol. 36, Iss. 6, pp. 51-63
Open Access | Times Cited: 883
Event-Based Vision: A Survey
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 44, Iss. 1, pp. 154-180
Open Access | Times Cited: 657
Deep Learning With Spiking Neurons: Opportunities and Challenges
Michael Pfeiffer, Thomas Pfeil
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 598
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
Friedemann Zenke, Surya Ganguli
Neural Computation (2018) Vol. 30, Iss. 6, pp. 1514-1541
Open Access | Times Cited: 514
Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures
Chankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 357
A solution to the learning dilemma for recurrent networks of spiking neurons
Guillaume Bellec, Franz Scherr, Anand Subramoney, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 355
A review of learning in biologically plausible spiking neural networks
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, et al.
Neural Networks (2019) Vol. 122, pp. 253-272
Open Access | Times Cited: 324
Reinforcement learning in artificial and biological systems
Emre Neftci, Bruno B. Averbeck
Nature Machine Intelligence (2019) Vol. 1, Iss. 3, pp. 133-143
Closed Access | Times Cited: 250
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason K. Eshraghian, Max Ward, Emre Neftci, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 9, pp. 1016-1054
Open Access | Times Cited: 232
Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
Jacques Kaiser, Hesham Mostafa, Emre Neftci
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 224
A Survey of Handwritten Character Recognition with MNIST and EMNIST
Alejandro Baldominos, Yago Sáez, Pedro Isasi
Applied Sciences (2019) Vol. 9, Iss. 15, pp. 3169-3169
Open Access | Times Cited: 220
Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron
Saeed Reza Kheradpisheh, Timothée Masquelier
International Journal of Neural Systems (2020) Vol. 30, Iss. 06, pp. 2050027-2050027
Open Access | Times Cited: 192
Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning
Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, et al.
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 183
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 7, pp. 2744-2757
Open Access | Times Cited: 154
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks
Milad Mozafari, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, et al.
Pattern Recognition (2019) Vol. 94, pp. 87-95
Open Access | Times Cited: 153
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function
Iulia M. Comşa, Krzysztof Potempa, Luca Versari, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020), pp. 8529-8533
Closed Access | Times Cited: 150
Efficient Spike-Driven Learning With Dendritic Event-Based Processing
Shuangming Yang, Tian Gao, Jiang Wang, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 133
Adaptive Extreme Edge Computing for Wearable Devices
Erika Covi, Elisa Donati, Xiangpeng Liang, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 108
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware
Nitin Rathi, Indranil Chakraborty, Adarsh Kumar Kosta, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 12, pp. 1-49
Open Access | Times Cited: 89
Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites
Shuangming Yang, Yanwei Pang, Haowen Wang, et al.
Neurocomputing (2023) Vol. 542, pp. 126240-126240
Closed Access | Times Cited: 54
MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning
Charlotte Frenkel, Jean-Didier Legat, David Bol
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 13, Iss. 5, pp. 999-1010
Open Access | Times Cited: 144
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