anne-urai / 2019_Urai_choice-history-ddmLinks
Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife
☆15Updated 5 years ago
Alternatives and similar repositories for 2019_Urai_choice-history-ddm
Users that are interested in 2019_Urai_choice-history-ddm are comparing it to the libraries listed below
Sorting:
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Updated last year
- A drift-diffusion modeling (DDM) framework for Python3☆17Updated 2 years ago
- A place where all demo code and data are stored.☆14Updated 4 years ago
- ☆17Updated 6 months ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 7 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- Task-Evoked Dynamic Network Analysis through Hidden Markov Modelling☆18Updated 6 years ago
- Generative Modeling of Multivariate Relationships☆25Updated last year
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆14Updated 4 years ago
- Dynamic Symmetric Connectivity☆17Updated 3 months ago
- This project provides the codes for the nested-spectral partition (NSP) method based on eigenmodes of human brain functional networks, an…☆16Updated 2 years ago
- Example pipeline for preprocessing, reading in behavioural files, first level and second level analysis☆15Updated 6 years ago
- ☆38Updated last year
- reliability calculation in shiny app☆20Updated 2 years ago
- Canonical Correlation Analysis and Partial Least Squares Toolkit for neuroscientists☆19Updated last year
- ☆31Updated 3 years ago
- ☆25Updated last year
- Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics☆12Updated 3 years ago
- Core tools for Cocoan Lab☆23Updated 3 weeks ago
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated 2 years ago
- Analysis code to create the figures in "Cycle by cycle analysis of neural oscillations"☆15Updated 5 years ago
- Codes for pattern regression with detailed manual☆21Updated 3 years ago
- Docker container prebuilt with python tools for demos and workshops☆15Updated 7 years ago
- fit response shapes from signal time-courses☆12Updated 4 months ago
- Code and data for Zhang & Gläscher (2020)☆16Updated 5 years ago
- Cognitive Computational Neuroscience online Reading Club(CCN0RC)☆12Updated 4 years ago
- Null models in network neuroscience☆26Updated 3 years ago
- MACS – a new SPM toolbox for model assessment, comparison and selection☆24Updated 2 years ago
- A package for publication-ready brain surface figures☆66Updated last year
- Tutorial talks at the Chinese Open Science Webinar series☆30Updated 4 years ago