Fig. 10.

Greedy and random neuron adding. Classification accuracy improved as neurons were added to the model for each session (dashed line corresponds to individual sessions; solid line and shaded error corresponds to average across sessions ± SE). A: using average firing rates and linear discriminant analysis, the neuron that improved classification the most was added to the model stepwise until no neurons remained. B: for each session, neurons were added to the model in random order; presented data represent the average result after 20 random shuffles.