Suggested further readings

• Arna Ghosh et al. (2023). “How gradient estimator variance and bias impact learning in neural networks”.

• Blake A. Richards et al. (2019). “A deep learning framework for neuroscience”.

• Paul Züge et al. (2023). “Weight versus Node Perturbation Learning in Temporally Extended Tasks: Weight Perturbation Often Performs Similarly or Better”.

• Timothy P. Lillicrap et al. (2016). “Random synaptic feedback weights support error backpropagation for deep learning”.

• Stephen Grossberg (1987). “Competitive learning: From interactive activation to adaptive resonance”.