goptavares / aDDM-Toolbox
A toolbox for data analysis using the attentional drift-diffusion model.
☆16Updated 7 years ago
Alternatives and similar repositories for aDDM-Toolbox:
Users that are interested in aDDM-Toolbox are comparing it to the libraries listed below
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- ☆30Updated 3 years ago
- Reinforcement learning + drift-diffusion modeling☆37Updated 8 years ago
- ☆40Updated 6 years ago
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆14Updated 3 years ago
- Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)☆34Updated 2 years ago
- fmri analysis tools☆20Updated 3 years ago
- scripts for the computational modelling workshop at FLUX 2021☆16Updated 3 years ago
- Simple model-fitting tools☆56Updated 5 years ago
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 4 years ago
- ☆22Updated 8 months ago
- ☆12Updated 7 years ago
- ☆8Updated last year
- Analysis code for multi-armed bandit task☆11Updated 4 years ago
- extended Better OSCillation Detection method☆27Updated 3 years ago
- ☆15Updated 6 months ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆26Updated last year
- (Matlab) code for the probabilistic brain decoding algorithms "PRINCE" and "The Algorithm Formerly Known As Prince"☆17Updated last year
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆14Updated 4 years ago
- General Analysis Functions☆14Updated 8 years ago
- Tutorial on representational similarity analysis for MIND 2018☆23Updated 6 years ago
- ☆52Updated this week
- A collection of simple implementation of various inference methods☆47Updated 2 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated last year
- Materials for Methods in Neuroscience at Dartmouth (MIND) 2017 Summer School on Network Dynamics☆33Updated 5 years ago
- Improvements of the ZapLine function to remove line noise from EEG/MEG data. Adds automatic detection of the number of components to remo…☆27Updated 2 years ago
- Task-Evoked Dynamic Network Analysis through Hidden Markov Modelling☆17Updated 6 years ago
- Hierarchical meta-d' model☆63Updated 8 months ago
- ☆27Updated 10 months ago
- A drift-diffusion modeling (DDM) framework for Python3☆17Updated last year