Fig 10. Different interpretations of the function $m(t,\widehat{t})$ (red line).

(A) As a function of $\widehat{t}$ (or as a function of k in discrete time), m(t_l, t_k) represents the distribution of last spike times ${\widehat{t}}_i$ across the population at time t = t_l. (B) As a function of time t (or as a function of the index l in discrete time), m(t_l, t_k) represents the survival number, i.e. the number of neurons which fired in the interval [t_k, t_k + Δt) which survived (did not fire) until time t = t_l. The activity Δn(t_k), i.e. the number of neurons that fired in the k-th time bin, is depicted by a blue line. The population size is N = 1000.