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morteza / adaptive-nback

Adaptive N-Back Sequence Generators

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Morteza Ansarinia authored on 26 Feb 2019
Morteza Ansarinia committed on 26 Feb 2019
.vscode generate skewed data for stat analysis. 6 years ago
benchmarks add benchmarks, diagrams, timing monitors, and improve performance for nb_gm_001, nb_gm_002, and nb_gm_003. 6 years ago
demo Implement nb_gm_001, nb_gm_002, nb_gm_003, nb_gm_004, and benchmarks for all of them plus progressive randomizer 6 years ago
generators add benchmarks, diagrams, timing monitors, and improve performance for nb_gm_001, nb_gm_002, and nb_gm_003. 6 years ago
markov restructure python codes, and init python file for a new progressive optimizer that controls lumpiness and optimizes in chunks instead of one trial per round. 6 years ago
.editorconfig restructure python codes, and init python file for a new progressive optimizer that controls lumpiness and optimizes in chunks instead of one trial per round. 6 years ago
.gitignore add skewed n-back demo using expyriment. 6 years ago
Pipfile refactor benchmark and add visualization 6 years ago
Pipfile.lock generate skewed data for stat analysis. 6 years ago
README.md restructure python codes, and init python file for a new progressive optimizer that controls lumpiness and optimizes in chunks instead of one trial per round. 6 years ago
main.py restructure python codes, and init python file for a new progressive optimizer that controls lumpiness and optimizes in chunks instead of one trial per round. 6 years ago
README.md

N-Back Sequence Generators

This project contains Python implementations of various sequence generators for the n-back task.

Build and Run

Skewed Random Generator

Even Random Generator