kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
-
Updated
Jan 18, 2024 - Python
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
CFD Code for Plasma and Reactive Flow
Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.
Spectral-element solver for Maxwell's equations, drift-diffusion equations, and more.
🧠 Statistical Methods Applied to Psychology Projects
The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters."
Drift Diffusion class for Matlab
An interactive visualisation of the Wiener drift diffusion model
Pyhton algorithm for numerical simulation of heterostructure devices
A Julia library for fitting DDMs to pulse-based evidence accumulations task data
Code for "Multiple decisions about one object involve parallel sensory acquisition but time-multiplexed evidence incorporation"
Drift-Diffusion-Simulations of ionic solar cells
Examples of solving heat diffusion and charge drift-diffusion equations
Investigation of the role of volition in prospective memory
Research project investigating the addition of confidence bounds to the drift diffusion model (DDM) in order to explain confidence ratings and their associated reaction times.
Add a description, image, and links to the drift-diffusion topic page so that developers can more easily learn about it.
To associate your repository with the drift-diffusion topic, visit your repo's landing page and select "manage topics."