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
- 7,480 views
- 142 citations
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513 articles
Articles
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
- 2,873 views
- 7 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
- 4,754 views
- 2 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
- 8,471 views
- 35 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
- 4,099 views
- 17 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
- 2,864 views
- 2 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
- 6,015 views
- 34 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
- 12,443 views
- 49 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
- 4,409 views
- 3 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
- 4,973 views
- 10 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
- 5,453 views
- 27 citations
Original Research
Published on 14 Jan 2021
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.603796
- 4,782 views
- 18 citations
Original Research
Published on 14 Jan 2021
A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.615756
- 6,193 views
- 18 citations
Original Research
Published on 23 Dec 2020
Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.543472
- 3,708 views
- 5 citations
Original Research
Published on 17 Nov 2020
A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.590164
- 11,454 views
- 61 citations
Original Research
Published on 17 Nov 2020
Toward New Modalities in VEP-Based BCI Applications Using Dynamical Stimuli: Introducing Quasi-Periodic and Chaotic VEP-Based BCI
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.534619
- 4,090 views
- 5 citations