Probabilistic spike propagation for FPGA implementation of spiking neural networks

The results presented in the paper are based on simulations on benchmark spiking neural networks. The methodology is described in the paper.

cs.NE cs.LG Computer Science Engineering

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References (21)

01Loihi: A Neuromorphic Manycore Processor with On-Chip LearningMike Davies, N. Srinivasa, Tsung-Han Lin et al.2018 · IEEE Micro · 3.6k citations

02Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image ClassificationBodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu et al.2017 · Frontiers in Neuroscience · 1.1k citations

03Magnetic tunnel junction enabled all-spin stochastic spiking neural networkGopalakrishnan Srinivasan, Abhronil Sengupta, K. Roy2017 · Design, Automation and Test in Europe · 37 citations

04Approximate computing for spiking neural networksSanchari Sen, Swagath Venkataramani, A. Raghunathan2017 · Design, Automation and Test in Europe · 61 citations

05BrainFrame: a node-level heterogeneous accelerator platform for neuron simulationsGeorgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja et al.2016 · Journal of Neural Engineering · 25 citations In Library

06Stochastic Computing Can Improve Upon Digital Spiking Neural NetworksS. C. Smithson, Kaushik Boga, A. Ardakani et al.2016 · IEEE Workshop on Signal Processing Systems · 26 citations

07Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processorKhadeer Ahmed, Amar Shrestha, Qinru Qiu et al.2016 · IEEE International Joint Conference on Neural Network · 18 citations

08EIE: Efficient Inference Engine on Compressed Deep Neural NetworkSong Han, Xingyu Liu, Huizi Mao et al.2016 · International Symposium on Computer Architecture · 2.6k citations In Library

09NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable ProcessorsKit Cheung, S. Schultz, W. Luk2016 · Frontiers in Neuroscience · 89 citations

10TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic ChipF. Akopyan, J. Sawada, A. Cassidy et al.2015 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 1.6k citations

11Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancingP. U. Diehl, Daniel Neil, Jonathan Binas et al.2015 · IEEE International Joint Conference on Neural Network · 1.1k citations

12The SpiNNaker ProjectS. Furber, F. Galluppi, S. Temple et al.2014 · Proceedings of the IEEE · 1.3k citations

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