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Contrastive hebbian learning with random feedback weights
A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates
Stochastic synapses as resource for efficient deep learning machines
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Contrastive hebbian learning with random feedback weights
Memristor-based neural networks: Synaptic versus neuronal stochasticity
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth
Neuromorphic Architectures with Electronic Synapses
Stochastic synaptic plasticity with memristor crossbar arrays
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
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