lynn0503 / Ten-simple-rules-for-the-computational-modeling-of-behavioral-data-PythonLinks
Ten simple rules for the computational modeling of behavioral data
☆15Updated 2 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))☆52Updated 2 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 7 years ago
- ☆40Updated 6 years ago
- Tutorial talks at the Chinese Open Science Webinar series☆30Updated 3 years ago
- ☆11Updated 3 years ago
- Cognitive Computational Neuroscience online Reading Club（CCN0RC）☆12Updated 3 years ago
- A docker image for running HDDM with parallel processing in jupyter notebook.☆28Updated 4 months ago
- Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)☆34Updated 2 years ago
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 5 years ago
- Material of the European Summer School on Computational and Mathematical Modeling of Cognition☆11Updated 2 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 4 years ago
- Hierarchical meta-d' model☆64Updated 10 months ago
- A place where all demo code and data are stored.☆14Updated 4 years ago
- Reinforcement learning + drift-diffusion modeling☆37Updated 8 years ago
- An exemplary task analysis workflow to run on OpenNeuro's ds000003 data, after preprocessing with fMRIPrep☆31Updated 4 years ago
- Computational modeling tutorials for cognitive science☆13Updated 2 years ago
- PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models☆8Updated last year
- 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
- (Matlab) code for the probabilistic brain decoding algorithms "PRINCE" and "The Algorithm Formerly Known As Prince"☆18Updated last year
- Tutorial on representational similarity analysis for MIND 2018☆23Updated 6 years ago
- Code & Data for Computational Psychiatry Course Tutorial on Machine Learning☆35Updated 2 years ago
- A Python Toolbox for Multimode Neural Data Representation Analysis☆62Updated 3 years ago
- ☆30Updated 3 years ago
- MEG MVPA Tutorial☆31Updated 4 years ago
- the Amsterdam Decoding And Modeling (ADAM) toolbox☆40Updated last year
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆14Updated 4 years ago
- Nipype-based data fMRI pre-processing tools☆16Updated 5 years ago
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.☆97Updated 5 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆17Updated last year