Where can I find an exact definition of recurrent spiking neural networks work and how do they work? I tried google and it just shows a lot of papers and articles to implement these but no proper definition.
Recurrent Spiking Neural Networks
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Spiking neural networks are artificial neural networks that more closely mimic natural neural networks. RNNs are neural networks where connections between nodes form a directed graph.In RNNs the output from the previous step is fed as input to the current step.
Recurrent Spiking Neural Networks are a combination of both. It makes a RNN on the pattern of human brain.Recurrent Spiking Neural Networks are the closest thing to human brain.