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Erik's Projects

accumulate icon accumulate

Compare decision making theories baed on information accumulation across every possible 2 choice trial (of length L).

ampsocialdemo icon ampsocialdemo

Demo code for the social scientific programming track of Amplify Neuroscience 2015

annclass icon annclass

The beginnings of a toy deep learning implementation.

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesvote icon bayesvote

A simple democratic way to decode classes using bayes rule.

bigstats icon bigstats

A module for calculating statistics, incrementally.

bike2books icon bike2books

Tools to estimate the bike-a-bility of San Diego.

boldr icon boldr

A R package for plotting high dimensional fMRI data

boldsim icon boldsim

Experimental files for, "A Precise Problem with Model-Based fMRI".

computation-thru-dynamics icon computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

cv icon cv

Erik Peterson's CV.

danalysis icon danalysis

A very basic library for studying recurrence matrices.

dilemma-draft icon dilemma-draft

Curiosity is a real good solution to the exploration-exploitation dilemma

dissertation icon dissertation

Erik Peterson's dissertation entitled, Rewards are categories?

ds icon ds

A python module for dynamical systems analysis. It's for learning not for real work.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fakephys icon fakephys

Simulate fake electrophysiological features using dynamical systems.

fidl icon fidl

A module for the conversion and manipulation of fidl files. Intended (mostly) for Wheeler Lab in-house use.

flyvec icon flyvec

A biologically inspired method to create sparse, binary word vectors

fmri icon fmri

fMRI preprocessing, data, and analysis code for 'Rewards are categories?'

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