Original Research
Published on 18 Sep 2020
Exploring Neuromodulation for Dynamic Learning
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00928
- 6,341 views
- 10 citations
Type at least 3 characters
542 articles
Original Research
Published on 18 Sep 2020
Neuromorphic Computing Using NAND Flash Memory Architecture With Pulse Width Modulation Scheme
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.571292
- 15,022 views
- 46 citations
Original Research
Published on 31 Aug 2020
Optimizing BCPNN Learning Rule for Memory Access
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00878
- 3,099 views
- 8 citations
Original Research
Published on 12 Aug 2020
Biologically Plausible Class Discrimination Based Recurrent Neural Network Training for Motor Pattern Generation
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00772
- 3,776 views
- 1 citation
Original Research
Published on 06 Aug 2020
Disease Classification Based on Eye Movement Features With Decision Tree and Random Forest
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00798
- 10,318 views
- 42 citations
Original Research
Published on 05 Aug 2020
Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00637
- 35,724 views
- 147 citations
Original Research
Published on 27 Jul 2020
Event-Based Face Detection and Tracking Using the Dynamics of Eye Blinks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00587
- 9,116 views
- 41 citations
Original Research
Published on 21 Jul 2020
Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00667
- 9,863 views
- 47 citations
Original Research
Published on 07 Jul 2020
On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00423
- 9,967 views
- 41 citations
Original Research
Published on 30 Jun 2020
Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and Hybridization
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00653
- 8,922 views
- 93 citations
Original Research
Published on 30 Jun 2020
Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00662
- 13,091 views
- 58 citations
Original Research
Published on 24 Jun 2020
Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00634
- 16,971 views
- 91 citations
Original Research
Published on 24 Jun 2020
Exploring the Connection Between Binary and Spiking Neural Networks
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00535
- 14,948 views
- 90 citations
Original Research
Published on 23 Jun 2020
An On-chip Spiking Neural Network for Estimation of the Head Pose of the iCub Robot
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00551
- 10,412 views
- 24 citations
Original Research
Published on 04 Jun 2020
Periodicity Pitch Perception
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00486
- 6,629 views
- 3 citations
Original Research
Published on 28 May 2020
Neuromorphic Systems Design by Matching Inductive Biases to Hardware Constraints
in Neuromorphic Engineering
Frontiers in Neuroscience
doi 10.3389/fnins.2020.00437
- 3,213 views