Elephant Reinforced Galves-L\"ocherbach Networks

We introduce an infinite-dimensional Galves–L"ocherbach system with bounded Elephant-type reinforced synaptic interactions. The reinforcement mechanism modifies the probabilities of excitatory and inhibitory synaptic updates while keeping their amplitudes uniformly bounded. We prove non-explosion by means of a Lyapunov estimate and establish a conditional Wasserstein contraction for the membrane-potential dynamics when the coupled systems share the same reinforcement profile. Finally, we derive the corresponding replica mean-field equation under the Poisson hypothesis.