GitBucket
| 2019-12-03 |
fix running tests
Morteza Ansarinia
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on 3 Dec 2019
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| 2019-03-05 |
add more param to demo
Morteza Ansarinia
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on 5 Mar 2019
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| 2019-03-01 |
prepare demo and diagrams.
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| 2019-02-28 |
diagrams to compare nb_gm_002 vs nb_gm_004
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add benchmark code and results for nb_gm_004
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| 2019-02-27 |
add benchmark codes and results
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fix a bug in lure counting algorithm that returned 0 for the number of lures.
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| 2019-02-26 |
add benchmarks, diagrams, timing monitors, and improve performance for nb_gm_001, nb_gm_002, and nb_gm_003.
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| 2019-02-25 |
refactor benchmark and add visualization
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| 2019-02-22 |
add benchmarks.
Morteza Ansarinia
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on 22 Feb 2019
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Fix nb_gm_003 and improve it with chunk-by-chunk sequence generation. It's now non-skewed and number of matches is controlled for a sequence.
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import nb_gm_004 from progressive randomizer
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Implement nb_gm_001, nb_gm_002, nb_gm_003, nb_gm_004, and benchmarks for all of them plus progressive randomizer
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| 2019-02-20 |
Add two new datasets to compare skewness in long blocks (240 trials) vs short blocks (24 trials).
Morteza Ansarinia
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on 20 Feb 2019
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fix skewed random generator, so it generates skewed sequences! It also calculates skewness as described in Ralph (2014, p.21).
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add ralph2014's skewness to the dataset.
Morteza Ansarinia
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on 20 Feb 2019
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PEP8 conformity and improve readability in progressive random sequence generator.
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generate skewed data for stat analysis.
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| 2019-02-19 |
window mode, and go/no-go style for progressive random n-back.
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refactors, add normalized cost functions to progressive n-back, and a new demo for progressive n-back.
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Support for block and trials in the skewed nback demo, and add preloading to all stimuli.
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add skewed n-back demo using expyriment.
Morteza Ansarinia
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on 19 Feb 2019
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| 2019-02-15 |
rename class
Morteza Ansarinia
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on 15 Feb 2019
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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.
Morteza Ansarinia
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on 15 Feb 2019
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| 2019-02-14 |
random mutation in GA-optimization to avoid local minima, comments, and minor improvements.
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| 2019-02-08 |
add cost function to include similarity to even distribution in fitness function
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Morteza Ansarinia
committed
on 8 Feb 2019
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| 2019-02-07 |
simple distribution cost function
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fix GA optimizer
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comments and docs
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