Figure 1

Performance of damaged reservoirs of 1,000 neurons with FORCE and innate learning algorithms. A. Target signal (green, perfectly replicated with the originally trained network) and the trace of the same network after the removal of one neuron in its reservoir. B. Ten trials (red) with different initial conditions of a damaged network (N-2 neurons) that is trained to peak at 1,000 ms (green) using innate learning. C. Average lag between the target and the output timing (100 trials per condition) as a function of the number of removed neurons. D. Mean squared error as a function of the number of removed neurons.