lei-zhang / BayesCog_Part2

Related projects: ⓘ

• lei-zhang / BayesCog_Part1
  Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).
  ☆15Updated 9 months ago
• lei-zhang / talks_and_workshops
  ☆10Updated 2 months ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 2 years ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆21Updated last year
• lei-zhang / COSN_webinar
  Tutorial talks at the Chinese Open Science Webinar series
  ☆29Updated 3 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
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆12Updated 7 months ago
• lei-zhang / SIT
  Code and data for Zhang & Gläscher (2020)
  ☆15Updated 4 years ago
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆14Updated 3 years ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆12Updated 2 years ago
• m-guggenmos / remeta
  Reverse engineering of Metacognition toolbox
  ☆15Updated 7 months ago
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆14Updated 7 years ago
• murrowma / pybeam
  PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
  ☆8Updated 11 months ago
• cosanlab / cosanlab_preproc
  Nipype-based data fMRI pre-processing tools
  ☆14Updated 4 years ago
• AlexanderFengler / LANfactory
  Package to Train LANs (Likelihood approximation networks)
  ☆11Updated 5 months ago
• rivasd / jsPsychHardware
  A Google Chrome Extension and native hosts allowing jspsych to interact with hardware
  ☆16Updated 5 years ago
• LinaTeichmann1 / BFF_repo
  Repo for "An empirically-driven guide on using Bayes Factors for M/EEG decoding"
  ☆13Updated last year
• Summer-MIND / mind-tools
  Docker container prebuilt with python tools for demos and workshops
  ☆15Updated 6 years ago
• jaromilfrossard / permuco
  R package for permutation test in linear model with nuisances variables
  ☆11Updated 3 weeks ago
• mdnunez / mcntoolbox
  The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual d…
  ☆11Updated 3 years ago
• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆16Updated last year
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• drbenvincent / delay-discounting-analysis
  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks
  ☆23Updated 6 years ago
• hrl-team / online_exp
  Code for creating online tasks to study human reinforcement learning
  ☆9Updated 5 years 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
• NCMlab / CognitiveTasks
  ☆9Updated last year
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆11Updated 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…
  ☆25Updated 6 months 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 last year
• igmmgi / DMCfun
  R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…
  ☆17Updated this week