Training recurrent neural networks with sparse, delayed rewards for flexible decision tasks

Thomas Miconi

Recurrent neural networks in the chaotic regime exhibit complex dynamics reminiscent of high-level cortical activity during behavioral tasks. However, existing training methods for…