Tom George

SIMPL. Fast optimisation of tuning curves by iterative fitting and decoding

HopfieldNetworkTutorial. A colab-style tutorial for how to build Hopfield Networks (classic and modern) and train them to memorise patterns and flags

STDP-SR. We study place and grid cells of an RL agent learns successor representations (SR) in compositional mazes.

DeepLearningTutorial. A colab-style DL tutorial for how to build and train DNNs (with and without autograd packages) from scratch.

ModellingSpatialRepresentations. A colab-style tutorial for how to model spatial behaviour and spatial representations using the RatInABox simulation toolkit.

HelmholtzHippocampus. Modelling hippocampus as a Helmholtz machine

ThetaSequencesAreEligibilityTraces. Code for my paper: "Theta sequences as eligibility traces: a biological solution to credit assignment"

oVAErian-Cancer. Code and data for my Part III Masters Project, University of Cambridge. This project looks at using variational autoencoders on Ovarian Cancer datasets to investigate methods of discovering gene signatures responsible for causing platinum resistance.

DeepLearningTurbulence. We use deep convolutional neural networks to solve a classic oceanographic problem: how to predict heat fluxes in turbulent flows given only readily available surface information.

gp_video. Makes gp videos for Joels project

KalMax. Kalman based neural decoding in Jax

NeuroRLTutorial. A colab-style tutorial on neuro-reinforcement learning

tomplotlib. A package I wrote for formatting and saving figures with matplotlib

ReservoirComputing. Code for computing with reservoir nets, pairs of mutually supervising reservoir nets and training with FORCE learning. Produced for PhD rotation in Akrami Lab studying temporal structure learning.

ucl-thesis-template. A clean, modular LaTeX template for UCL theses