Questions tagged [spiking-neural-networks]

For questions related to spiking neural networks (SNNs) that more accurately model biological neurons in the brain than perceptrons or RNN cells by simulating pulses within and across neurons rather than simulating signal values that remain constant for each learning iteration (by example index or batch index for mini-batch).

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Is it a good idea to first train a spiking neural network and then convert it to a conventional neural network?

In many papers about artificial spiking neural networks (SNNs), the performance of them is not up to par with traditional ANNs. I have read how some people have converted ANNs to SNNs using various ...
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Can traditional neural networks be combined with spiking neural networks?

Can traditional neural networks be combined with spiking neural networks? And can there be training algorithms for such hybrid network? Does such hybrid network model biological brains? As I ...
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How does Lateral Inhibition Provide Competition among Neurons?

I stumbled upon a paper from P.Diehl and M.Cook with the title "Unsupervised learning of digit recognition using spike-timing-dependent plasticity" and I'm trying to understand the logic ...
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Can brain simulation be done using Tensor Processing Units?

A potential way to solving AI is via whole brain simulation. Currently we have the algorithm to model a human brain (albeit far from perfectly): https://thenextweb.com/news/theres-an-algorithm-to-...