hrahman12/Neuromatch-Bonus-Challenge-Solutions

This is Bonus content from the course, here I include mathematical derivation as well as code. I also include my own incorporations of Quantum Computing into these problems.

Neuromatch-Bonus-Challenge-Solutions

Model Fitting (W1D2)

-Tutorial 5 Model Selection Bias Variance trade-off: Bonus Exercise: Proof of bias-variance decomposition

-Tutorial 6: Model Selection Cross Validation: Bonus Section 1: Akaike’s Information Criterion (AIC)

-Autoencoders Tutorial 1

Biological Neuron Models (W2D3)

-Tutorial 3: Synaptic transmission - Models of static and dynamic synapses

Reinforcement Learning (W3D4)

Tutorial 3: Learning to Act: Q-Learning

Feel free to add more!