Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP
Fig 5
Stability of a network of N = 1000 neurons trained with M = 10 stimuli.
(A) Post-learning raster plots of the neuronal activity at times: t=0h, t=2h and t=4h. In each plot, the spike count, normalized to the total number of neurons N and estimated over time bins of 0.2 sec, is displayed below the time axis. Selected spontaneous recalls are highlighted by colored shadows while a peak of global activity is highlighted by a grey shadow. Some of these events are zoomed on the right side of the panels. (B) Post-learning weights matrices at times: t=0h, t=2h and t=4h. (C) Post-learning evolution of mean intra- (solid lines) and inter- (dashed line) clusters weights for excitatory to excitatory (E-E dark red), excitatory to inhibitory (E-I red), anti-Hebbian inhibitory to excitatory (A-E dark blue), anti-Hebbian inhibitory to inhibitory (A-I cyan), Hebbian inhibitory to excitatory (H-E blue) and Hebbian inhibitory to inhibitory (H-I steel blue) connections.