| Brain-Inspired Learning on Neuromorphic Substrates | 1 | 0.35 | 2021 |
| Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation | 0 | 0.34 | 2021 |
| On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks | 2 | 0.38 | 2020 |
| Terrain Classification with a Reservoir-Based Network of Spiking Neurons | 0 | 0.34 | 2020 |
| Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators | 0 | 0.34 | 2020 |
| Embodied Neuromorphic Vision With Continuous Random Backpropagation | 0 | 0.34 | 2020 |
| Online Few-Shot Gesture Learning on a Neuromorphic Processor | 0 | 0.34 | 2020 |
| Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks | 20 | 0.88 | 2019 |
| Embodied Event-Driven Random Backpropagation. | 0 | 0.34 | 2019 |
| Reinforcement Learning In Artificial And Biological Systems | 4 | 0.42 | 2019 |
| Inherent Weight Normalization in Stochastic Neural Networks | 0 | 0.34 | 2019 |
| Surrogate Gradient Learning in Spiking Neural Networks. | 3 | 0.38 | 2019 |
| Contrastive Hebbian Learning with Random Feedback Weights. | 0 | 0.34 | 2018 |
| Synaptic Plasticity Dynamics for Deep Continuous Local Learning. | 3 | 0.38 | 2018 |
| Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. | 2 | 0.36 | 2017 |
| Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. | 17 | 0.58 | 2017 |
| Stochastic Neuromorphic Learning Machines For Weakly Labeled Data | 2 | 0.35 | 2016 |
| Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. | 4 | 0.41 | 2016 |
| Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity. | 1 | 0.35 | 2016 |
| Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware | 13 | 0.90 | 2016 |
| Inherently stochastic spiking neurons for probabilistic neural computation | 2 | 0.36 | 2015 |
| Learning of Chunking Sequences in Cognition and Behavior. | 6 | 0.72 | 2015 |
| Unsupervised Learning in Synaptic Sampling Machines | 2 | 0.37 | 2015 |
| Learning Non-deterministic Representations with Energy-based Ensembles. | 0 | 0.34 | 2014 |
| PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems. | 4 | 0.43 | 2014 |
| Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks | 2 | 0.45 | 2013 |
| Event-driven contrastive divergence for spiking neuromorphic systems. | 49 | 2.17 | 2013 |
| Function approximation with uncertainty propagation in a VLSI spiking neural network. | 3 | 0.42 | 2012 |
| Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. | 2 | 0.38 | 2012 |
| Real-Time Inference In A Vlsi Spiking Neural Network | 5 | 0.46 | 2012 |
| A systematic method for configuring VLSI networks of spiking neurons. | 16 | 0.99 | 2011 |
| Systematic configuration and automatic tuning of neuromorphic systems | 6 | 0.45 | 2011 |
| Live demonstration: State-dependent sensory processing in networks of VLSI spiking neurons | 0 | 0.34 | 2010 |
| State-dependent sensory processing in networks of VLSI spiking neurons | 9 | 0.70 | 2010 |
| Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons | 5 | 0.49 | 2007 |
