| Date: | 05 November 2013 |
|---|---|
| Authors: | Thomas V. Wiecki
Michael J. Frank |
| Contact: | [email protected] |
| Web site: | http://github.com/twiecki/bg_inhib |
| Paper: | http://ski.clps.brown.edu/papers/WieckiFrank_psyrev.pdf |
| Copyright: | This document has been placed in the public domain. |
| License: | Simplified BSD |
| Version: | 1.1 |
This is the neural network model and accompanying scripts to run and analyze the model presented in:
"A computational model of inhibitory control in frontal cortex and basal ganglia." Wiecki, T.V. & Frank, M.J., Psychological Review, 2013
To run the selective response inhibition simulations:
python emergent.py --run -b 4 -g saccade
To run the stop-signal simulations:
python emergent.py --run -b 4 -g stopsignal
This should populate the logs directory. After this is finished (might take quite some time), run:
python emergent.py --analyze -b 4 -g saccade python emergent.py --analyze -b 4 -g stopsignal
This should populate the plots subdirectories. Note that plots used in the final paper are often edited to improve quality.