psychNerdJae / cog-comp-modeling

Related projects: ⓘ

• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆15Updated 4 years ago
• galombardi / method_HtSSM_aDDM
  Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.
  ☆13Updated 3 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆16Updated last year
• hrl-team / online_exp
  Code for creating online tasks to study human reinforcement learning
  ☆9Updated 5 years ago
• mpc-ucl / emfit
  ☆20Updated 3 weeks ago
• Center-for-Computational-Psychiatry / course_fcp
  Course materials for Foundations of Computational Psychiatry graduate course
  ☆11Updated last year
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆21Updated last year
• embodied-computation-group / metadpy
  Metacognitive efficiency modelling in Python.
  ☆14Updated 10 months ago
• mdnunez / PIPS_course
  Programming in Psychological Science course. This repository contains materials for a R + Python intro course.
  ☆15Updated last year
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆12Updated 2 years ago
• AGhaderi / NDDM
  Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…
  ☆14Updated 2 months ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆15Updated 2 years ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆12Updated 7 months ago
• smfleming / LBA
  Linear ballistic accumulator
  ☆7Updated 3 years ago
• rystoli / PyMVPAw
  Package wrapper with additions to PyMVPA http://www.pymvpa.org/ https://github.com/PyMVPA/PyMVPA
  ☆13Updated 3 years ago
• nivlab / jspsych-demos
  jsPsych tasks made by the Niv Lab
  ☆15Updated last year
• psychNerdJae / hddm_tutorial
  Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)
  ☆27Updated 2 years ago
• visionlab / MemToolbox
  A MATAB toolbox for modeling visual working memory
  ☆20Updated 2 years ago
• mar-wir / StanDDM
  A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
  ☆46Updated 2 months ago
• hcp4715 / dockerHDDM
  A docker image for running HDDM with parallel processing in jupyter notebook.
  ☆25Updated last week
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆14Updated 3 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• ampl-psych / EMC2
  ☆11Updated this week
• mdnunez / pyhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…
  ☆25Updated 6 months ago
• JoramSoch / MACS
  MACS – a new SPM toolbox for model assessment, comparison and selection
  ☆23Updated last year
• Nathaniel-Haines / Reliability_2020
  ☆12Updated 5 months ago
• kiante-fernandez / Rhddmjags
  Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…
  ☆12Updated 6 months ago
• goptavares / aDDM-Toolbox
  A toolbox for data analysis using the attentional drift-diffusion model.
  ☆14Updated 6 years ago
• murrowma / pybeam
  PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
  ☆8Updated 11 months ago
• IanEisenberg / Self_Regulation_Ontology
  ☆16Updated 2 years ago