Agreement in Spiking Neural Networks.
Journal:
Journal of computational biology : a journal of computational molecular cell biology
Published Date:
Mar 23, 2022
Abstract
We study the problem of binary agreement in a spiking neural network (SNN). We show that binary agreement on inputs can be achieved with of auxiliary neurons. Our simulation results suggest that agreement can be achieved in our network in time. We then describe a subclass of SNNs with a biologically plausible property, which we call size-independence. We prove that solving a class of problems, including agreement and Winner-Take-All, in this model requires auxiliary neurons, which makes our agreement network size-optimal.