相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron
Saeed Reza Kheradpisheh et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2020)
Exploring the Connection Between Binary and Spiking Neural Networks
Sen Lu et al.
FRONTIERS IN NEUROSCIENCE (2020)
TEMPORAL CODING IN SPIKING NEURAL NETWORKS WITH ALPHA SYNAPTIC FUNCTION
Julia M. Comsa et al.
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (2020)
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence
Indranil Chakraborty et al.
NATURE MACHINE INTELLIGENCE (2020)
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Abhronil Sengupta et al.
FRONTIERS IN NEUROSCIENCE (2019)
A comparative study on spiking neural network encoding schema: implemented with cloud computing
Ammar Almomani et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Mike Davies et al.
IEEE MICRO (2018)
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks
Aboozar Taherkhani et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks
Yujie Wu et al.
FRONTIERS IN NEUROSCIENCE (2018)
Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights
Arash Samadi et al.
NEURAL COMPUTATION (2017)
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
Bodo Rueckauer et al.
FRONTIERS IN NEUROSCIENCE (2017)
Escher: A CNN Accelerator with Flexible Buffering to Minimize Off-Chip Transfer
Yongming Shen et al.
2017 IEEE 25TH ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM 2017) (2017)
Random synaptic feedback weights support error backpropagation for deep learning
Timothy P. Lillicrap et al.
NATURE COMMUNICATIONS (2016)
Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs
Da Li et al.
PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCES ON BIG DATA AND CLOUD COMPUTING (BDCLOUD 2016) SOCIAL COMPUTING AND NETWORKING (SOCIALCOM 2016) SUSTAINABLE COMPUTING AND COMMUNICATIONS (SUSTAINCOM 2016) (BDCLOUD-SOCIALCOM-SUSTAINCOM 2016) (2016)
Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
Yongqiang Cao et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation
Eustace Painkras et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2013)
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Geoffrey Hinton et al.
IEEE SIGNAL PROCESSING MAGAZINE (2012)
分享论文
