GitHub / jameshughes89 / NonlinearModelsFMRI
WARNING: This is just the results and scripts for analysis (GP system is a variation of jGPv9). A project using genetic programming to perform symbolic regression on fMRI data. There is a need for this because typical approaches use only linear regression. This is bad because the breain is a nonlinear system, and a linear model of a nonlinear system will never be accurate. Currently this work has 2 publications in GECCO.
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License: None
Language: Python
Size: 12.1 MB
Dependencies parsed at: Pending
Created at: almost 8 years ago
Updated at: over 3 years ago
Pushed at: almost 8 years ago
Last synced at: about 2 years ago
Topics: evolutionary-algorithm, fmri, gecco, genetic-programming, linear, neuroscience, nonlinear, symbolic-regression