Learning rule influences recurrent network representations but not attractor structure in decision-making tasks

no code implementations • NeurIPS 2021 • Brandon McMahan, Michael Kleinman, Jonathan Kao

For relatively complex tasks, we find that attractor topology is invariant to the choice of learning rule, but representational geometry is not.

Decision Making