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
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 years ago
- Repository for materials/codes from Kording lab teaching 2016☆14Sep 12, 2017Updated 9 years ago
- Low-rank Highway Networks☆13Mar 11, 2016Updated 10 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
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- cli for downloading data from crcns.org☆36Nov 11, 2023Updated 2 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
- FiberNavigator - Maxime Chamberland -☆10Feb 9, 2022Updated 4 years ago
- False discovery rate regression☆10Nov 12, 2020Updated 5 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Jun 8, 2015Updated 11 years ago
- Tools, algorithms, and frameworks for managing and analyzing neural data.☆21Mar 21, 2022Updated 4 years ago
- Code and data for Zhang & Gläscher (2020)☆16Aug 27, 2020Updated 6 years ago
- PyPGMC: Fast discrete inference submodels for PyMC and PyMC3☆20Jun 7, 2014Updated 12 years ago
- code to implement our sequential monte carlo (smc) algorithm to perform optimal optical spike inference (oopsi) for individual neurons☆16Nov 28, 2016Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Analogs of Linguistic Structure in Deep Representations☆19Jul 27, 2017Updated 9 years ago
- Tools for spike data analysis and visualization☆114Feb 4, 2023Updated 3 years ago
- density_estimation☆31Feb 27, 2026Updated 6 months ago
- Revealing neural correlates of behavior without behavioral measurements☆18Nov 18, 2019Updated 6 years ago
- Website for the 2018 OHBM hackathon☆11Nov 28, 2022Updated 3 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆102Jul 18, 2022Updated 4 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆20Nov 26, 2017Updated 8 years ago
- Python implementation of elastic-net regularized generalized linear models☆288Aug 17, 2023Updated 3 years ago
- A Web-Based Visualization Tool for Biclustering of Multivariate Time Series☆10Feb 17, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Fast approximate inference for Poisson GLMs☆11Oct 20, 2019Updated 6 years ago
- Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes☆16Sep 5, 2017Updated 9 years ago
- Conda environment for neuroimaging analysis in python, R, etc☆23May 20, 2021Updated 5 years ago
- SpikeForest -- spike sorting analysis for website☆16Jul 7, 2020Updated 6 years ago
- Parameter-free statistical testing package☆12Jul 7, 2026Updated 2 months ago
- Source code of the CPPN-Explorer tool. See http://www.evolvingai.org/PicbreederCanalization for the accompanying publication.☆28Oct 31, 2017Updated 8 years ago
- ☆16Jul 3, 2014Updated 12 years ago
- ☆13Aug 10, 2024Updated 2 years ago
- A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens☆27Aug 14, 2015Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Dynamic Bayesian Multitaper Estimation MATLAB Codes☆13Feb 23, 2018Updated 8 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆16Aug 10, 2018Updated 8 years ago
- Generate a matrix of predictors corresponding to different behavioral variables and process a regression-based encoding model to obtain t…☆18Jul 14, 2019Updated 7 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆17Jun 7, 2021Updated 5 years ago
- Data mining project to predict stock prices on basis of sentiments.☆11Apr 2, 2016Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Sep 19, 2017Updated 9 years ago
- Collection of scripts to analyze ABCD release data☆43Sep 1, 2022Updated 4 years ago