PrincetonUniversity / fcma-toolbox
Princeton Full Correlation Matrix Analysis (FCMA) Toolbox
☆17Updated 8 years ago
Alternatives and similar repositories for fcma-toolbox:
Users that are interested in fcma-toolbox are comparing it to the libraries listed below
- Neurosynth viewer☆28Updated 9 years ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- Kabuki is a Python toolbox that allows easy creation of hierarchical Bayesian models for the cognitive sciences.☆69Updated last year
- algorithms for mass univariate regression☆12Updated 6 years ago
- Sparse and structured methods for supervised and unsupervised learning on large neuroimaging data☆17Updated 11 years ago
- Cortex - Deep learning tools for neuroimaging☆31Updated 7 years ago
- Neuroproc dataset descriptions and dictionaries☆15Updated 8 years ago
- Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.☆25Updated 3 years ago
- Introductory workshop to modeling and model fitting in psychophysics and neuroscience☆11Updated 5 years ago
- ☆20Updated 5 years ago
- A toolkit for easily building and evaluating machine learning models.☆40Updated last year
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- Exercises for 2015 Berkeley practical neuroimaging class☆26Updated 9 years ago
- Library of composable generative population models which serve as the modeling and inference backend of BayesDB.☆25Updated 6 months ago
- Structured Machine Learning in Python☆46Updated last year
- Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)☆17Updated 8 months ago
- CausalFX R Package☆13Updated 9 years ago
- Magnetic resonance imaging and tractography with R☆28Updated this week
- Tools for automatic extraction of activation coordinates from published neuroimaging articles.☆43Updated 5 months ago
- Simulate Evidence Accumulation Models in Python☆23Updated 3 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- Exact Spike Inference Via L0 Optimization☆8Updated 6 years ago
- Matlab and Python code for pupillometry studies.☆14Updated 3 years ago
- Links to Neuroscience tools, portals, initiatives, and more!☆16Updated 7 years ago
- Bayesian Psychometric Curve Fitting Tool☆45Updated 3 weeks ago
- C++ Library for reading and writing CIFTI-2 and CIFTI-1 files☆14Updated last year
- Deep Probabilistic Programming Language☆19Updated 6 months ago
- course materials for the 2017 Summer Workshop on the Dynamic Brain☆11Updated 7 years ago
- Data Smashing☆14Updated 10 years ago