This paper studies new spike-based models for winner-take-all computation and coincidence detection. In both cases, very fast convergence is achieved independent of initial conditions, and network complexity is linear in the number of inputs. Fully distributed versions can be derived by using groups of interneurons connected through electrical synapses.
Wei Wang 0008, Jean-Jacques E. Slotine