Figure 1

Classification accuracy vs. number of training patterns, for a fully connected inhibitory network of N = 100 neurons. Performance of the zero-connectivity network is shown as a benchmark for comparison. The N-dimensional network output is binned into n patterns, with a bin size of 30 ms, and the linear classifier is trained to separate the first n/2 patterns from the latter n/2. The input weight, with exponentially decreasing post-synaptic current (psc, with 100 ms time constant), is sub-threshold. Inhibitory network weights are reported in relation to the input weight, though the inhibitory psc time constants are much smaller (8 ms).