Understanding spiking networks through convex optimization

1 code implementation • NeurIPS 2020 • Allan Mancoo, Sander Keemink, Christian K. Machens

Here we turn these findings around and show that virtually all inhibition-dominated SNNs can be understood through the lens of convex optimization, with network connectivity, timescales, and firing thresholds being intricately linked to the parameters of underlying convex optimization problems.

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