Alternatives and similar repositories for bayesian2afc:

Users that are interested in bayesian2afc are comparing it to the libraries listed below

• glamlab / glambox
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Updated last year
• ljchang / CosanlabToolbox
  General Analysis Functions
  ☆14Updated 8 years ago
• DrugowitschLab / dm
  C++ Diffusion model toolset with Python and Matlab interfaces
  ☆16Updated 4 years ago
• psychNerdJae / cog-comp-modeling
  Computational modeling tutorials for cognitive science
  ☆12Updated 2 years ago
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆32Updated last year
• lnccbrown / lans
  Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"
  ☆14Updated 3 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
• sjgershm / RL_DDM
  Reinforcement learning + drift-diffusion modeling
  ☆37Updated 8 years ago
• lionel-rigoux / tutorial-bayesian-inference
  A collection of simple implementation of various inference methods
  ☆48Updated 2 years ago
• jmxpearson / rlfit
  Simple Matlab code to fit reinforcement learning models to choice data
  ☆17Updated 5 years ago
• DevComPsy / 2021FluxCompModellingWorkshop
  scripts for the computational modelling workshop at FLUX 2021
  ☆16Updated 3 years ago
• visionlab / MemToolbox
  A MATAB toolbox for modeling visual working memory
  ☆23Updated 2 months ago
• mailchand / CHaRTr
  CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks
  ☆17Updated 3 years ago
• romainligneul / igt-toolbox
  Toolbox enabling the model-free and model-based analysis of IGT data
  ☆16Updated 2 years ago
• AlexanderFengler / hddmnn_tutorial
  Code for a Tutorial on using the Neural Network Extension of HDDM
  ☆22Updated 2 years ago
• ellesec / burstanalysis
  Resources for burst analysis paper
  ☆14Updated 6 years ago
• mdnunez / mcntoolbox
  The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual d…
  ☆13Updated 4 years ago
• lei-zhang / socialRL
  Code and data for Zhang, Lengersdorff et al. (2020)
  ☆23Updated 4 years ago
• 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
• nivlab / nivstan
  Recipes for cognitive modeling using Stan [work in progress]
  ☆12Updated 4 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 2 years ago
• craddm / metaSDT
  A simple R package for calculating (meta-) SDT measures
  ☆15Updated last year
• svendaehne / matlab_SPoC
  Matlab code for SSD, SPoC, mSPoC, and cSPoC
  ☆26Updated 8 years ago
• psy-farrell / computational-modelling
  Code and website accompanying Farrell & Lewandowsky's (2017) book
  ☆62Updated 2 years ago
• Summer-MIND / mind_2017
  Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics
  ☆33Updated 5 years ago
• drbenvincent / delay-discounting-analysis
  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks
  ☆23Updated 6 years ago
• FabriceLuyckx / DriftDiffusion_Matlab
  A tutorial on the standard drift diffusion model (DDM) with code in Matlab and ready-to-use functions.
  ☆11Updated 7 years ago
• mdnunez / PIPS_course
  Programming in Psychological Science course. This repository contains materials for a R + Python intro course.
  ☆16Updated last year
• beOn / cili
  cili - bring your eye tracking data into focus
  ☆24Updated 6 years ago
• metacoglab / HMeta-d
  Hierarchical meta-d' model
  ☆62Updated 6 months ago