How does spiking neural networks handle continuous signals?
Turns out, they can use the same tricks used JPEGs and telecom (wavelets)!
It's 100x more efficient. It's lossy, but causal and implementable directly in analog circuits. And maybe a path toward fast, low-power spiking signal processing?
