lynn0503 / Ten-simple-rules-for-the-computational-modeling-of-behavioral-data-PythonView external linksLinks
Ten simple rules for the computational modeling of behavioral data
☆15Aug 17, 2022Updated 3 years ago
Alternatives and similar repositories for Ten-simple-rules-for-the-computational-modeling-of-behavioral-data-Python
Users that are interested in Ten-simple-rules-for-the-computational-modeling-of-behavioral-data-Python are comparing it to the libraries listed below
Sorting:
- 计算精神病学在线文献报告讨论会(Computational psychiatry online journal club(CPoJC))☆54Aug 31, 2022Updated 3 years ago
- Material of the European Summer School on Computational and Mathematical Modeling of Cognition☆11Jul 19, 2022Updated 3 years ago
- ☆10Apr 5, 2022Updated 3 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆13Sep 17, 2025Updated 4 months ago
- Contains the scripts, pre-trained networks, and data for our paper:☆19Aug 24, 2023Updated 2 years ago
- A Python Toolbox for Cross-Temporal Representational Similarity Analysis-based Decoding on EEG/MEG Data☆24Nov 14, 2020Updated 5 years ago
- Cognitive Computational Neuroscience online Reading Club（CCN0RC）☆12Jul 30, 2021Updated 4 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- fit response shapes from signal time-courses☆12Apr 28, 2025Updated 9 months ago
- Package to Train LANs (Likelihood approximation networks)☆13Updated this week
- Estimate the power of linear mixed model☆15Oct 14, 2020Updated 5 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Dec 21, 2018Updated 7 years ago
- Simulate Evidence Accumulation Models in Python☆23Nov 16, 2021Updated 4 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Nov 1, 2023Updated 2 years ago
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- Computational modeling tutorials for cognitive science☆13Sep 20, 2022Updated 3 years ago
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.☆104Dec 9, 2019Updated 6 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Oct 30, 2017Updated 8 years ago
- hypr is an R package for easy translation between experimental (null) hypotheses and contrast matrices as used for linear regression.☆17Nov 9, 2023Updated 2 years ago
- Toolbox enabling the model-free and model-based analysis of IGT data☆17Apr 5, 2022Updated 3 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- scripts for the computational modelling workshop at FLUX 2021☆17Oct 26, 2021Updated 4 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Apr 30, 2021Updated 4 years ago
- Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on …☆38Mar 10, 2023Updated 2 years ago
- talks on running a lab☆18May 20, 2023Updated 2 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 3 years ago
- ☆45Jun 17, 2024Updated last year
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Nov 21, 2022Updated 3 years ago
- Second Training Course on Neural Modeling and Programming. 第二届神经计算建模及编程培训班.☆20Dec 20, 2023Updated 2 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 3 months ago
- Code and data for Zhang & Gläscher (2020)☆16Aug 27, 2020Updated 5 years ago
- An awesome list of computational neuroscience and computational cognitive science.☆49Jul 24, 2024Updated last year
- Tools for serving and storing data from online experiments.☆18Jul 15, 2025Updated 6 months ago
- An introduction to Scientific Computing with Python, an advanced course for computer science students at IDC Herzliya☆22Jun 26, 2022Updated 3 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated last year
- Memory & Perception Reviews Reading Group (RRG)☆23Feb 1, 2026Updated 2 weeks ago
- reliability calculation in shiny app☆20May 26, 2023Updated 2 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated last year