Preprint
Aug 2026
Heterogeneity-enhanced stochastic resonance improves liquid-state computing in delayed spiking neural networks
We investigate the joint effects of stochastic forcing and quenched structural heterogeneity on stochastic resonance (SR) and liquid-state computation in a small-world network of excitable FitzHugh--Nagumo neurons. Heterogeneity is introduced separately through coupling strengths and time delays drawn from Gaussian, bi...
Sandipan Nath, Marius E. Yamakou
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