Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks

1 code implementation • NeurIPS Workshop Neuro_AI 2019 • Roman Pogodin, Dane Corneil, Alexander Seeholzer, Joseph Heng, Wulfram Gerstner

Reservoir computing is a powerful tool to explain how the brain learns temporal sequences, such as movements, but existing learning schemes are either biologically implausible or too inefficient to explain animal performance.

Temporal Sequences