Alternatives and similar repositories for bayescogdat:

Users that are interested in bayescogdat are comparing it to the libraries listed below

• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• mdnunez / pyhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…
  ☆26Updated last year
• ClaireSmid / Model-free_Model-based_Workshop
  This folder contains all the material to be used in the FLUX 2021 Model-free and Model-based computational workshop
  ☆15Updated 3 years ago
• lei-zhang / talks_and_workshops
  ☆10Updated 2 weeks ago
• GWeindel / hmp
  Repository for the hmp python package
  ☆40Updated this week
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆15Updated 8 months ago
• ContextLab / CDL-tutorials
  Repo containing useful tutorials on different topics, methods, software tools, and packages used by the CDL
  ☆16Updated 5 years ago
• ycleong / MotivatedPerception
  Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)
  ☆9Updated 4 years ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• Summer-MIND / mind-tools
  Docker container prebuilt with python tools for demos and workshops
  ☆15Updated 6 years ago
• lnccbrown / HSSM
  Development of HSSM package
  ☆90Updated this week
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated last year
• simbrain / NeuralNetworksCogSciBook
  Neural Networks in Cognitive Science
  ☆14Updated last month
• galombardi / method_HtSSM_aDDM
  Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
  ☆14Updated 3 years ago
• ContextLab / supereeg
  Infer activity throughout the brain from a small(ish) number of electrodes using Gaussian process regression
  ☆34Updated 3 years ago
• jeroenvanbaar / MoralStrategiesFMRI
  Code accompanying the manuscript: Van Baar, J., Chang, L., & Sanfey, A.G. (2019). The computational and neural substrates of moral strate…
  ☆26Updated 2 years ago
• lovelabUCL / dimensionality
  Estimating the functional dimensionality of neural representations
  ☆19Updated 2 years ago
• drbenvincent / delay-discounting-analysis
  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks
  ☆23Updated 6 years ago
• voytekresearch / Cole_2018_cyclebycycle
  Analysis code to create the figures in "Cycle by cycle analysis of neural oscillations"
  ☆15Updated 4 years ago
• ericabusch / hybrid_hyperalignment_neuroimage
  ☆15Updated 2 years ago
• cosanlab / cosanlab_preproc
  Nipype-based data fMRI pre-processing tools
  ☆14Updated 4 years ago
• PsychoinformaticsLab / nipymc
  Bayesian mixed-effects modeling of fMRI data in Python
  ☆39Updated 3 years ago
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆32Updated last year
• idamomen / predictive_representations
  ☆13Updated 5 years ago
• mvdoc / budapest-fmri-data
  Quality assurance analyses of fMRI data collected while participants watched The Grand Budapest Hotel by Wes Anderson.
  ☆27Updated 4 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• jooh / neuroconda
  Conda environment for neuroimaging analysis in python, R, etc
  ☆23Updated 3 years ago
• neurohackademy / 2018_materials
  Materials for Neurohackademy 2018 lectures, tutorials, etc.
  ☆33Updated 6 years ago
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆34Updated 2 years ago