A piece-wise linear recurrent neural network identifies generalizable dynamics from neural activity during decision-making in rodents
William H. Barnett, Daniel Durstewitz, Alexey S. Kuznetsov, Christopher C. Lapish
This study uses a piecewise linear recurrent neural network to identify generalizable latent dynamics in neural activity during decision-making in rodents, showing faster rotational dynamics for impulsive choices.