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The findings indicate that the accuracy cost of removing labels from feature learning is small on this benchmark, and that reported weaknesses of unsupervised spiking networks may be attributable to the readout protocol rather than to the learning rule.
The spiking neural network-based Proximal Policy Optimization algorithm integrates the use of spike-based actor-critic reinforcement learning with the Proximal Policy Optimization algorithm and uses the stochastic Gaussian policy in the autonomous navigation of unmanned aerial vehicles.
This work presents an end-to-end pipeline that converts real-world driving footage from the Joint Attention in Autonomous Driving dataset into synthetic dynamic vision sensor (DVS) event streams using the v2e simulator, and trains a novel convolutional spiking neural network (Conv-SNN) with clip-consistent DVS augmenta...
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