Original Research
Published on 21 Aug 2019
A Theory for Sparse Event-Based Closed Loop Control
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00827
- 3,898 views
- 4 citations
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559 articles
articles
Original Research
Published on 13 Aug 2019
A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00855
- 8,609 views
- 23 citations
Original Research
Published on 09 Aug 2019
A Hardware Implementation of SNN-Based Spatio-Temporal Memory Model
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00835
- 5,091 views
- 14 citations
Original Research
Published on 06 Aug 2019
Streaming Batch Eigenupdates for Hardware Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00793
- 4,723 views
- 9 citations
Original Research
Published on 06 Aug 2019
Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00812
- 10,799 views
- 70 citations
Original Research
Published on 30 Jul 2019
RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00753
- 3,475 views
- 10 citations
Original Research
Published on 23 Jul 2019
Sparse Coding Using the Locally Competitive Algorithm on the TrueNorth Neurosynaptic System
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00754
- 8,169 views
- 19 citations
Technology Report
Published on 12 Jul 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00625
- 25,360 views
- 113 citations
Original Research
Published on 04 Jul 2019
Deep Liquid State Machines With Neural Plasticity for Video Activity Recognition
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00686
- 17,447 views
- 49 citations
Original Research
Published on 03 Jul 2019
Constructing an Associative Memory System Using Spiking Neural Network
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00650
- 19,892 views
- 47 citations
Review
Published on 27 Jun 2019
Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00666
- 16,156 views
- 25 citations
Original Research
Published on 27 Jun 2019
A Spike Time-Dependent Online Learning Algorithm Derived From Biological Olfaction
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00656
- 7,667 views
- 34 citations
Original Research
Published on 18 Jun 2019
Synthesizing Images From Spatio-Temporal Representations Using Spike-Based Backpropagation
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00621
- 6,419 views
- 21 citations
Original Research
Published on 12 Jun 2019
Simulation of Inference Accuracy Using Realistic RRAM Devices
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2019.00593
- 11,891 views
- 66 citations
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
- 6,237 views
- 19 citations
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
- 9,999 views
- 51 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
- 8,928 views
- 52 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
- 20,608 views
- 50 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
- 9,898 views
- 40 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
- 7,896 views
- 28 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
- 6,682 views
- 47 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
- 9,006 views
- 38 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
- 28,751 views
- 126 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
- 11,163 views
- 59 citations