ORIGINAL RESEARCH
Published on 07 Mar 2019
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
doi 10.3389/fnins.2019.00095
- 43,551 views
- 784 citations
- Frontiers in Neuroscience
- Neuromorphic Engineering
- Research Topics
- Deep Learning in Neuromorphic Systems
Deep Learning in Neuromorphic Systems
23k
Total Downloads
122k
Total Views and Downloads
Submit your idea
You will be redirected to our submission process.
Articles
ORIGINAL RESEARCH
Published on 12 Feb 2019
FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition
doi 10.3389/fnins.2019.00073
- 2,963 views
- 11 citations
ORIGINAL RESEARCH
Published on 20 Nov 2018
Efficient Synapse Memory Structure for Reconfigurable Digital Neuromorphic Hardware
doi 10.3389/fnins.2018.00829
- 5,592 views
- 14 citations
ORIGINAL RESEARCH
Published on 16 Nov 2018
Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype
doi 10.3389/fnins.2018.00840
- 8,732 views
- 42 citations
ORIGINAL RESEARCH
Published on 24 Oct 2018
Training LSTM Networks With Resistive Cross-Point Devices
doi 10.3389/fnins.2018.00745
- 3,634 views
- 40 citations
ORIGINAL RESEARCH
Published on 31 Aug 2018
Deep Supervised Learning Using Local Errors
doi 10.3389/fnins.2018.00608
- 8,215 views
- 76 citations
ORIGINAL RESEARCH
Published on 03 Aug 2018
Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning
doi 10.3389/fnins.2018.00435
- 28,109 views
- 160 citations
METHODS
Published on 16 Mar 2018
Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems
doi 10.3389/fnins.2018.00167
- 3,679 views
- 11 citations
Published in
Frontiers in Neuroscience
- Neuromorphic Engineering
Impact
- 122kTopic views
- 95kArticle views
- 23kArticle downloads