kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Computational Fluid Dynamics, Waves, Reactions, Plasmas
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."
Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
Drift Diffusion class for Matlab
An interactive visualisation of the Wiener drift diffusion model
Pyhton algorithm for numerical simulation of heterostructure devices
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.
A Pyro-PPL implementation of a 2D Ornstein-Uhlenbeck process using stochastic variational inference.
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