Faramarz Faghihi

A Synchronization-Driven Learning Rule for Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks

This work systematically investigated how feedback inhibition influences network dynamics, stability, synchronization, and pattern separation efficacy and demonstrated that moderate inhibition produces an optimal balance between excitatory and inhibitory activity, maximizing pattern separation while preventing both exc...