Figure 18. The dependence of chronotron performance on when synapses are updated during simulations.

The number of learning epochs required for correct learning as a function of the load , for various methods of applying the synaptic changes according to the learning rules: batch updating (synapses are changed at the end of each batch of trials, each one corresponding to one of the input patterns); trial updating (synapses are changed at the end of each trial); online updating (synapses are changed after each target or actual postsynaptic spike — for I-learning only). (A) E-learning. (B) I-learning.