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Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
TLDR
We introduce a method for learning image features with locally connected layers in SNNs using a spike-timing-dependent plasticity (STDP) rule. Expand
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Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game
TLDR
We introduce Spiking Neural Networks (SNNs) to address some deficiencies of deep RL solutions. Expand
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Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
TLDR
We introduce Spiking Neural Networks (SNNs) to address some deficiencies of deep RL solutions. Expand
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Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification
TLDR
We demonstrate that features extracted in an unsupervised manner using the biologically inspired Hebbian learning rule in a winner-take-all setting, perform competitively with BP on the image classification task. Expand
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
TLDR
Spiking neural networks (SNNs) have great potential for energy-efficient implementation of Deep Neural Networks (DNN) on dedicated neuromorphic hardware. Expand