Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.
☆45Oct 14, 2014Updated 11 years ago
Alternatives and similar repositories for theano_pyglm
Users that are interested in theano_pyglm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Jul 19, 2018Updated 8 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆73May 12, 2020Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 years ago
- Emergent property inference.☆11Jul 6, 2023Updated 3 years ago
- Repository for materials/codes from Kording lab teaching 2016☆14Sep 12, 2017Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Low-rank Highway Networks☆13Mar 11, 2016Updated 10 years ago
- False discovery rate smoothing☆14May 8, 2020Updated 6 years ago
- Fast and memory efficient approach for connectome-wide association studies in R and C++. Uses custom implementation of multivariate dista…☆17Nov 15, 2020Updated 5 years ago
- cli for downloading data from crcns.org☆36Nov 11, 2023Updated 2 years ago
- ☆20Apr 3, 2019Updated 7 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Jul 23, 2019Updated 7 years ago
- Variational Bayesian GP-LVM model in MATLAB.