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Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation.

, , , , , , , , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 185-194. Springer, (2019)

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Water Budget Closure in the Upper Chao Phraya River Basin, Thailand Using Multisource Data., , , and . Remote. Sens., 14 (1): 173 (2022)Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation., , , , , , , , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 185-194. Springer, (2019)Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model., , , , , , , , , and . ICONIP (5), volume 1143 of Communications in Computer and Information Science, page 591-599. Springer, (2019)A power-efficient FPGA accelerator: Systolic array with cache-coherent interface for pair-HMM algorithm., and . COOL Chips, page 1-3. IEEE Computer Society, (2016)Lightweight Shadow Paging for Efficient Memory Isolation in Gandalf VMM., and . ISORC, page 508-515. IEEE Computer Society, (2008)Linux/RTOS Hybrid Operating Environment on Gandalf Virtual Machine Monitor., , and . EUC, volume 4096 of Lecture Notes in Computer Science, page 287-296. Springer, (2006)Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method., , , , , , , and . Neural Process. Lett., 53 (3): 1741-1751 (2021)Making a Virtual Machine Monitor Interruptible., and . Inf. Media Technol., 6 (4): 1139-1148 (2011)11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip., , , , , , , , , and 22 other author(s). ISSCC, page 214-215. IEEE, (2024)Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine., , , , , , , , , and 3 other author(s). Adv. Intell. Syst., (2022)