Skip to main content

CBGT contains code for implementing the CBGT network and drift-diffusion model (DDM) fits described in the manuscript Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making.

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for CBGT, version 0.0.6
Filename, size File type Python version Upload date Hashes
Filename, size CBGT-0.0.6-cp36-cp36m-macosx_10_7_x86_64.whl (94.1 kB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size CBGT-0.0.6.tar.gz (72.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page