TomGeorge1234

Tom George's repositories

STDP-SR

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

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HopfieldNetworkTutorial

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

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DeepLearningTutorial

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

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ModellingSpatialRepresentations

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

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HelmholtzHippocampus

Modelling hippocampus as a Helmholtz machine

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ThetaSequencesAreEligibilityTraces

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

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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.

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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.

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gp_video

Makes gp videos for Joels project

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NeuroRLTutorial

A colab-style tutorial on neuro-reinforcement learning

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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.

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tomplotlib

A package I wrote for formatting and saving figures with matplotlib

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TReND-CaMinA

TReND school in Comp Neuro and ML

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cloudpickle

Extended pickling support for Python objects

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KalMax

Kalman based neural decoding in Jax

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PPSeq.jl

Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains

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PupillometryPipeline

Code and pipeline for pupillometry. Produced for PhD rotation in Akrami lab, for studying implicit statistical learning in humans performing a gap detection task. Code should be adaptable for more general pupillometry projects.

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WhatMakesNeuronsPicky

Here I use pytorch to understand what drives neuronal selective in deep neural networks trained to perform multiple tasks simultaneously

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MAIN_2022_calRSA

Notebook demonstration of basic RSA approaches to explore representational structure in 1p calcium imaging data

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replay_trajectory_classification

State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data

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StatsBase.jl

Basic statistics for Julia

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TidalTailsOfInteractingGalaxies

Simulation code (python) and report for a study into the close approach of two multi-star galaxies and the subsequent formation of tidal tails from the extreme self generated tidal forces present.

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TomGeorge1234.github.io

My personal website

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