Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems
Fig 2
(A) Two ensembles of spike patterns are generated by distinct, N-dimensional inputs IA and IB repeatedly presented to the network on multiple trials, where initial states are chosen at random. This results in two network-wide response ensembles ΘIA and ΘIB containing spike patterns across neurons, time and trials. (B) Illustration of the two procedures used to control input similarity. Left: ρsame controls the number of neurons Nsame = ρsame N that receive identical inputs Ii(t) under both stimuli IA(t) and IB(t). Right: correlation coefficient ρcorr controls the correlation of all pairs of neural inputs and
(note that Ii(t) and Ij(t) remain uncorrelated if i ≠ j).