74cbc5f9153113a4a08a389e7d604f55a2647b1b,snntoolbox/core/inisim.py,,get_new_thresh,#Any#,221

Before Change

    return theano.ifelse.ifelse(
        t.eq(self.time / settings["dt"] % settings["timestep_fraction"], 0) *
        t.gt(self.max_spikerate, settings["diff_to_min_rate"] / 1000) *
        t.gt(1 / settings["dt"] - self.max_spikerate,
             settings["diff_to_max_rate"] / 1000),
        self.max_spikerate, self.v_thresh)

After Change

    thr_min = 0.5
    thr_max = 1.0
    r_lim = 1 / settings["dt"]
    return thr_min + (thr_max - thr_min) * self.max_spikerate / r_lim

    // return theano.ifelse.ifelse(
    //     t.eq(self.time / settings["dt"] % settings["timestep_fraction"], 0) *
    //     t.gt(self.max_spikerate, settings["diff_to_min_rate"] / 1000) *

Instances