Biologically Inspired Neural Networks

Explore a guest lecture from the MIT Introduction to Deep Learning course, delivered by Dmitry Krotov from the MIT/IBM Watson AI Lab. Delve into the fascinating world of biologically inspired neural networks and their learning algorithms. Investigate whether the brain performs deep learning and backpropagation, and examine a biologically plausible synaptic plasticity rule. Learn about stacking layers in neural networks and analyze the generalization performance on the CIFAR-10 dataset. Gain insights into the intersection of neuroscience and artificial intelligence, and understand the potential implications for developing more brain-like machine learning models.

Intro
Does brain do deep learning?
Does brain do backpropagation?
Learning algorithm
Synaptic plasticity rule
Stacking the layers
Generalization performance on CIFAR-10
Conclusions