The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for using JAGS with pyjags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in Python.

The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model

Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in R.

Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R

Python and JAGS code and data associated with publication, "The latency of a visual evoked potential tracks the onset of decision making" (2019)