Original Research
Published on 06 Jun 2019
First Error-Based Supervised Learning Algorithm for Spiking Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00559
- 5,294 views
- 13 citations
Type at least 3 characters
521 articles
Articles
Original Research
Published on 28 May 2019
Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State Machines
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00504
- 7,675 views
- 43 citations
Original Research
Published on 24 May 2019
Direct Feedback Alignment With Sparse Connections for Local Learning
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00525
- 7,274 views
- 39 citations
Original Research
Published on 21 May 2019
Neuromorphic Hardware Learns to Learn
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00483
- 17,984 views
- 40 citations
Original Research
Published on 26 Apr 2019
A Soft-Pruning Method Applied During Training of Spiking Neural Networks for In-memory Computing Applications
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00405
- 8,349 views
- 32 citations
Original Research
Published on 24 Apr 2019
Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00357
- 6,249 views
- 21 citations
Original Research
Published on 27 Mar 2019
A Delay Learning Algorithm Based on Spike Train Kernels for Spiking Neurons
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00252
- 5,495 views
- 39 citations
Technology Report
Published on 26 Mar 2019
SpiNNTools: The Execution Engine for the SpiNNaker Platform
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00231
- 5,938 views
- 33 citations
Original Research
Published on 26 Mar 2019
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00260
- 24,805 views
- 102 citations
Original Research
Published on 19 Mar 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00189
- 9,043 views
- 53 citations
Original Research
Published on 19 Mar 2019
A Tutorial on Auditory Attention Identification Methods
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00153
- 18,631 views
- 60 citations
Original Research
Published on 07 Mar 2019
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00095
- 56,202 views
- 784 citations
Original Research
Published on 22 Feb 2019
REMODEL: Rethinking Deep CNN Models to Detect and Count on a NeuroSynaptic System
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00004
- 8,879 views
- 10 citations
Original Research
Published on 12 Feb 2019
FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00073
- 3,902 views
- 11 citations
Original Research
Published on 05 Feb 2019
Information-Theoretic Intrinsic Plasticity for Online Unsupervised Learning in Spiking Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00031
- 5,920 views
- 17 citations
Original Research
Published on 17 Jan 2019
Investigation of Event-Based Surfaces for High-Speed Detection, Unsupervised Feature Extraction, and Object Recognition
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2018.01047
- 6,507 views
- 23 citations