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Neural coding with spikes and bursts: characterizing neurons and networks with noisy input

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TL;DR

It is shown that feed-forward inhibition makes the output more precise when all events or when only single spikes are taken into account, but not if the analysis is restricted to bursts, which is more versatile than feedback inhibition in shaping the computation in a microcircuit.

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