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Biological spiking neurons with intrinsic dynamics underlie the powerful representation and learning capabilities of the brain for processing multimodal information in complex environments.
Solving graph algorithms with networks of spiking neurons
Dorel M Sala and Krzysztof J Cios · 1999
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Link-based classification
Lise Getoor · 2005
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Emergence of scale-free graphs in dynamical spiking neural networks
Filip Piekniewski · 2007
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Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
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Spiking neural network-based target tracking control for autonomous mobile robots
Zhiqiang Cao, Long Cheng, Chao Zhou, Nong Gu, Xu Wang, and Min Tan · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Interplay between graph topology and correlations of third order in spiking neuronal networks
Stojan Jovanović and Stefan Rotter · 2016
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Revisiting semi-supervised learning with graph embeddings
Zhilin Yang, William Cohen, and Ruslan Salakhudinov · 2016
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Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
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Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
Cited alongside, same era.
Evolving spiking neural networks for recognition of aged voices
Marco Silva, Marley MBR Vellasco, and Edson Cataldo · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
Cited alongside, same era.
Spatio-temporal backpropagation for training high-performance spiking neural networks
A spiking neural network model of depth from defocus for event-based neuromorphic vision
Germain Haessig, Xavier Berthelon, Sio-Hoi Ieng, and Ryad Benosman · 2019
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2019
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Direct training for spiking neural networks: Faster, larger, better
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, and Luping Shi · 2019
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Tactilesgnet: A spiking graph neural network for event-based tactile object recognition
Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, and Harold Soh · 2020
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Spike-based graph centrality measures
Kathleen Hamilton, Tiffany Mintz, Prasanna Date, and Catherine D Schuman · 2020
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Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, and Luping Shi · 2018
Cited alongside, same era.
Graph neural networks: A review of methods and applications
Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun · 2018
Cited alongside, same era.
On ev-degree and ve-degree topological properties of tickysim spiking neural network
Murat Cancan · 2019
Cited alongside, same era.
The tolman-eichenbaum machine: Unifying space and relational memory through generalization in the hippocampal formation
James CR Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, and Timothy EJ Behrens · 2020
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Going deeper with directly-trained larger spiking neural networks
Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, and Guoqi Li · 2020
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Retina-like visual image reconstruction via spiking neural model
Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, and Yonghong Tian · 2020
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