Original Research
Published on 05 Mar 2021
Integrating Non-spiking Interneurons in Spiking Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.633945
- 4,791 views
- 10 citations
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534 articles
Original Research
Published on 04 Mar 2021
Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.638474
- 44,351 views
- 201 citations
Original Research
Published on 25 Feb 2021
A Functional Spiking Neural Network of Ultra Compact Neurons
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.635098
- 4,077 views
- 5 citations
Original Research
Published on 23 Feb 2021
Bio-Inspired Architectures Substantially Reduce the Memory Requirements of Neural Network Models
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.612359
- 4,562 views
- 7 citations
Original Research
Published on 22 Feb 2021
Neuromorphic Analog Implementation of Neural Engineering Framework-Inspired Spiking Neuron for High-Dimensional Representation
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.627221
- 11,920 views
- 16 citations
Original Research
Published on 19 Feb 2021
nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.582608
- 3,102 views
- 7 citations
Original Research
Published on 19 Feb 2021
Efficient Spike-Driven Learning With Dendritic Event-Based Processing
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.601109
- 8,090 views
- 150 citations
Original Research
Published on 19 Feb 2021
Learning to Approximate Functions Using Nb-Doped SrTiO3 Memristors
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.627276
- 5,010 views
- 2 citations
Original Research
Published on 18 Feb 2021
Low-Latency Spiking Neural Networks Using Pre-Charged Membrane Potential and Delayed Evaluation
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.629000
- 4,444 views
- 21 citations
Original Research
Published on 18 Feb 2021
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.633674
- 9,227 views
- 43 citations
Original Research
Published on 16 Feb 2021
Bio-Inspired Radio-Frequency Source Localization Based on Cochlear Cross-Correlograms
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.623316
- 3,129 views
- 3 citations
Original Research
Published on 11 Feb 2021
Coupled VO2 Oscillators Circuit as Analog First Layer Filter in Convolutional Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.628254
- 6,606 views
- 36 citations
Original Research
Published on 10 Feb 2021
Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.629892
- 13,535 views
- 59 citations
Original Research
Published on 09 Feb 2021
A Compact Model of Ovonic Threshold Switch Combining Thermal Dissipation Effect
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.635264
- 4,739 views
- 5 citations
Original Research
Published on 02 Feb 2021
End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.615279
- 5,479 views
- 12 citations
Original Research
Published on 01 Feb 2021
Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2021.580909
- 5,922 views
- 28 citations