Extended Data Fig. 1: Effects of different time constant initialization schemes on network training and performance on the SoLi dataset. | Nature Machine Intelligence

Extended Data Fig. 1: Effects of different time constant initialization schemes on network training and performance on the SoLi dataset.

From: Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Extended Data Fig. 1

a, Training accuracy b, Training Loss c, Mean Firing rate of the network. The MGconstant is the network where Ï„ is initialized with a single value; for MGuniform the network is initialized with uniformly distributed time-constants near the single value of MGconstant; for MGstd5, a normal distribution with std 5.0 is used near the same single value.

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