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Contrast Optimized Stimulus Generator (Cosgen)
2017
Zenodo
As fMRI measurements are complex, expensive, and often target low-amplitude effects, the statistical optimization of stimulus sequences for specific experimental targets plays an integral role in the experiment design process. We provide an extremely flexible framework to perform such optimizations using the genetic algorithm (GA) introduced by Wager and Nichols [6] and improved by Kao et al. [4]. Our Python implementation improves on many aspects of existing solutions, including higher
doi:10.5281/zenodo.1000449
fatcat:fm2qiqke6nhs3kqf6pbdlpymau