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09/30/2020
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
Spiking neural networks (SNNs) have great potential for energy-efficient...
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08/29/2020
Reinforcement Learning with Feedback-modulated TD-STDP
Spiking neuron networks have been used successfully to solve simple rein...
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10/15/2019
Reinforcement learning with spiking coagents
Neuroscientific theory suggests that dopaminergic neurons broadcast glob...
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09/05/2019
Minibatch Processing in Spiking Neural Networks
Spiking neural networks (SNNs) are a promising candidate for biologicall...
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06/04/2019
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data
Spiking neural networks (SNNs) with a lattice architecture are introduce...
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04/12/2019
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
In recent years, Spiking Neural Networks (SNNs) have demonstrated great ...
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03/26/2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games
Various implementations of Deep Reinforcement Learning (RL) demonstrated...
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08/24/2018
STDP Learning of Image Patches with Convolutional Spiking Neural Networks
Spiking neural networks are motivated from principles of neural systems ...
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07/24/2018
Unsupervised Learning with Self-Organizing Spiking Neural Networks
We present a system comprising a hybridization of self-organized map (SO...
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06/04/2018
BindsNET: A machine learning-oriented spiking neural networks library in Python
The development of spiking neural network simulation software is a criti...
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08/15/2013