Table 1. Default network parameters.
Network Parameters | Symbol | Value |
Cue current | 0.75 nA | |
Cue period {training, testing} | {500, 500} ms | |
Number of training epochs | 10 | |
Time step for numerical integration | 0.02 ms | |
Number of layers | 2 | |
Number of excitatory cells per layer | {512, 256} | |
Number of inhibitory cells per layer | {128, 64} | |
Prob. of cell synapsing with afferent feed-forward cell | ||
Prob. of cell synapsing with afferent lateral cell | ||
Prob. of cell synapsing with afferent cell | ||
Prob. of cell synapsing with afferent cell | ||
Prob. of cell synapsing with afferent cell | ||
Standard deviation of lateral connection strength |
Sets of values are indicated by braces whereby the values correspond to the parameters used for each of the two layers of neurons (or the training/testing periods in the case of the cue period). Square brackets are used to indicate ranges of parameters which were explored through simulations.