basvanopheusden / BMDLinks
Implementation of the Bayesian Microsaccade Detection algorithm described in Mihali, van Opheusden, and Ma, 2017, Journal of Vision
☆10Updated 6 years ago
Alternatives and similar repositories for BMD
Users that are interested in BMD are comparing it to the libraries listed below
Sorting:
- Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design☆10Updated 6 years ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 4 years ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 5 years ago
- Hierarchical meta-d' model☆76Updated last year
- Preprocess EyeLink pupillometry data using the FieldTrip toolbox☆16Updated 7 years ago
- cli for downloading data from crcns.org☆32Updated 2 years ago
- Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia☆66Updated this week
- MATLAB package to generate contrast plots☆35Updated 5 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Repository for the hmp python package☆50Updated last week
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆33Updated 2 years ago
- Analyze the waveform shape of neural oscillations.☆12Updated 7 years ago
- Matlab code for SSD, SPoC, mSPoC, and cSPoC☆26Updated 9 years ago
- Clean/Repair .eps PostScript vector files created by Matlab R2016b☆53Updated 7 years ago
- Development of HSSM package☆109Updated this week
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 3 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Updated 2 years ago
- Estimating the functional dimensionality of neural representations☆19Updated 3 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago
- Tools related to analyzing eye tracking data from cogntive sciences experiments☆16Updated last year
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Updated 9 years ago
- ☆12Updated 6 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Updated 2 years ago
- A drift-diffusion modeling (DDM) framework for Python☆107Updated 4 months ago
- cili - bring your eye tracking data into focus☆25Updated 7 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆28Updated 9 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 8 years ago
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated 2 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 3 years ago