Extended Data Table 1: Final performance of Complex STDP approximation and Double T-Maze experiment. | Nature Machine Intelligence

Extended Data Table 1: Final performance of Complex STDP approximation and Double T-Maze experiment.

From: Network of evolvable neural units can learn synaptic learning rules and spiking dynamics

Extended Data Table 1

Shows the mean and standard deviation of the performance in each environment over 30 trial runs. The ENU consistently outperforms the compared models (p<0.005). On the Double T-Maze Experiment, the LSTM and GRU model perform similarly (p=0.012), which was also observed in previous experiments. See also Fig. 5 for a more detailed convergence analysis.

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