CoAxLab / AdaptiveDecisionMaking_2018Links
Repository for code and lab resources for "Neural and Cognitive Models of Adaptive Decision Making" course (2018)
☆11Updated 2 years ago
Alternatives and similar repositories for AdaptiveDecisionMaking_2018
Users that are interested in AdaptiveDecisionMaking_2018 are comparing it to the libraries listed below
Sorting:
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.☆14Updated 7 years ago
- ☆13Updated 9 years ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Updated 7 years ago
- ☆12Updated 6 years ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Updated 6 years ago
- PTSA - Python Time Series Analysis☆22Updated last year
- Tikhonov regression in python☆32Updated last year
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated last year
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago
- computational and brain/behavior modeling☆32Updated 4 years ago
- Reverse engineering of Metacognition toolbox☆18Updated last month
- Analysis repository for Waskom et al., (2017) Cerebral Cortex☆17Updated 9 years ago
- Reinforcement learning + drift-diffusion modeling☆37Updated 8 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- ☆19Updated 8 years ago
- A drift-diffusion modeling (DDM) framework for Python☆99Updated last month
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 7 years ago
- Introduction to Quantified Cognition☆15Updated 2 years ago
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 3 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.☆91Updated 5 years ago
- Neural Networks in Cognitive Science☆15Updated last week
- HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).☆286Updated last year
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated 2 years ago
- ☆20Updated 6 years ago
- Simple Matlab code to fit reinforcement learning models to choice data☆17Updated 6 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆27Updated last year