Continuous-Time Neural Networks Can Stably Memorize and Reproduce Random Spike Trains

Continuous-time recurrent neural networks can robustly memorize and autonomously reproduce arbitrary random spike train patterns with stable accurate relative timing of all spikes, within some range of parameters.