Pinned Repositories
glia_playing_atari
Artificial Glia Networks.
infomercial
Agents who seek information and reward in equal measure.
accumulate
Compare decision making theories baed on information accumulation across every possible 2 choice trial (of length L).
explorations-book
Exploration explorables.
fmri
fMRI preprocessing, data, and analysis code for 'Rewards are categories?'
rl
Fit reinforcement learning models to behavioral data
simfMRI
Simulate fMRI data and statistical analyses.
voltagebudget
Neural oscillations as lossy compression.
alphalogical
Models and data for, 'A unified mechanism for visual cortical alpha rhythms'.
resistingrhythm
Neural oscillations, with homeostasis.
parenthetical-e's Repositories
parenthetical-e/fmri
fMRI preprocessing, data, and analysis code for 'Rewards are categories?'
parenthetical-e/explorations-book
Exploration explorables.
parenthetical-e/CV
Erik Peterson's CV.
parenthetical-e/voltagebudget
Neural oscillations as lossy compression.
parenthetical-e/bayesvote
A simple democratic way to decode classes using bayes rule.
parenthetical-e/dilemma-draft
Curiosity is a real good solution to the exploration-exploitation dilemma
parenthetical-e/dilemma-talk-irvine-2019
A talk about valuing information and reward equally.
parenthetical-e/draft-template
A latex template for drafting, and the arxiv.
parenthetical-e/flyvec
A biologically inspired method to create sparse, binary word vectors
parenthetical-e/gitignore
A collection of useful .gitignore templates
parenthetical-e/gridsearch
Wu, C. M., Schulz, E., Speekenbrink, M., Nelson, J. D., & Meder, B. (2018). Generalization guides human exploration in vast decision spaces. Nature Human Behaviour. 2, 915–924. https://doi.org/10.1038/s41562-018-0467-4
parenthetical-e/gym-maze
A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
parenthetical-e/Insanally2017
This is the code accompanying Insanally, et al eLife, 2019
parenthetical-e/invigilate
A simple way to log any variables, at runtime
parenthetical-e/IRM-games
repository for invariant risk minimization games
parenthetical-e/maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
parenthetical-e/noboard
A familiar system for logging data, based loosely on tensorboard.
parenthetical-e/pacpy
Calculate phase-amplitude coupling in Python (and Matlab).
parenthetical-e/paramsearch
A simple way to generate hyperparameter tables.
parenthetical-e/parkid
Simulate parents, kids, and many dependent agents.
parenthetical-e/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
parenthetical-e/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
parenthetical-e/Resume
Erik Peterson's resume.
parenthetical-e/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
parenthetical-e/Rosenberg-2021-Repository
Code and data to accompany the Rosenberg 2021 Preprint
parenthetical-e/SoftCon
Author's implementation of SoftCon: Simulation and Control of Soft-Bodied Animals with Biomimetic Actuators (SIGGRAPH Asia 2019 Technical Paper)
parenthetical-e/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
parenthetical-e/theagamma
Costs and benefits of gamma oscillations (for the OC paper).
parenthetical-e/theoc
A simple study of oscillatory coding, using LNP models.
parenthetical-e/truthiness
Games of honesty communication, and consequences