Figure 13. The dependence of chronotron performance on the probability that input synapses receive no spikes.

At the beginning of the experiment, each input spike train was set up as either one spike generated at a random timing or, with a probability , of no spikes. Input patterns did not change during learning. (A) The maximum load (the capacity ) as a function of the no firing probability . (B) The number of learning epochs required for correct learning as a function of the no firing probability , for various loads . (C) The number of learning epochs required for correct learning as a function of load , for various values of the no firing probability . Best capacity was achieved for values of less or equal to 0.1, while fastest learning was achieved when there was no input with no spikes. For large there are not enough input spikes to drive the neuron and, as expected, performance drops.