# Suggested further readings 

- Arna Ghosh et al. (2023). ["How gradient estimator variance and bias impact learning in neural networks"](https://openreview.net/forum?id=EBC60mxBwyw).
- Blake A. Richards et al. (2019). ["A deep learning framework for neuroscience"](https://www.nature.com/articles/s41593-019-0520-2).
- Paul Züge et al. (2023). ["Weight versus Node Perturbation Learning in Temporally Extended Tasks: Weight Perturbation Often Performs Similarly or Better"](https://journals.aps.org/prx/abstract/10.1103/PhysRevX.13.021006).
- Timothy P. Lillicrap et al. (2016). ["Random synaptic feedback weights support error backpropagation for deep learning"](https://www.nature.com/articles/ncomms13276).
- Stephen Grossberg (1987). ["Competitive learning: From interactive activation to adaptive resonance"](https://www.sciencedirect.com/science/article/pii/S0364021387800253).