Extended Data Fig. 1: RNN parameter interpolation.
From: Long-term stability of single neuron activity in the motor system
(a) Mean correlation between the initial conditions (left), recurrent weight matrices (center), and readout weight matrices (right) of the simulated RNNs as a function of time difference for the stable and drifting networks. Shading indicates standard deviation across 10 repetitions of training and interpolation.
