Learning to select computations in recurrent neural circuits
Sixing Chen, Frederick Callaway, Sreejan Kumar, Shira M. Lupkin, Joni D. Wallis, Vincent B. McGinty, Erin L. Rich, Marcelo Gomes Mattar
This paper develops a recurrent neural network model that learns to select computations by combining rational meta-reasoning with meta-learning, demonstrating its ability to approximate optimal symbolic models and replicate neural dynamics in macaque and human planning tasks.
bioRxiv · Apr 16, 2026 · PreprintNeuroscience