Before revision:  We studied the properties of simple recurrent neural networks trained to perform temporal tasks and also flow control tasks with temporal stimulus. We studied mainly three aspects: inner configuration sets, memory capacity with the scale of the models and finally immunity to induced damage on a trained network .
After revision:  We studied the properties of simple recurrent neural networks trained to perform temporal tasks and also flow control tasks with temporal stimuli. We present the results regarding three aspects: inner configuration sets, memory capacity with the scale of the models and finally immunity to induced damage on a trained network .