Zeyu Wang

The Sparsity Ceiling: Where Spiking Networks Can and Cannot Trade Activity for Energy

It is argued the energy dividend of sparsity is not a property of SNNs but of the task, and the ceiling is formalized with an information-theoretic bound and confirmed: the floor rises with memory load, falls with state width, and (refuting a naive memory-only reading) rises with task difficulty.