Self-organized nanoparticle networks, which are at the percolation threshold, hold great promise for bio-inspired information processing. These networks show non-linear responses, with avalanche dynamics similar to those observed in the brain. Current path imaging using active voltage contrast and resistive contrast imaging in the scanning electron microscop indicates that the current path changes during biasing due to the formation and rupture of memristive filaments within nano-gaps between NP groups. Strong resistive contrast highlighted the changing position of the nano-gaps. With this, we aim to correlate the spatio-temporally distributed resistive switching events within the network with the spiking dynamics of the NPN.