vruetten / GPFADSLinks
Gaussian Process Factor Analysis with Dynamical Structure
☆17Updated 4 years ago
Alternatives and similar repositories for GPFADS
Users that are interested in GPFADS are comparing it to the libraries listed below
Sorting:
- ☆23Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- ☆20Updated last year
- latent manifold tuning model / P-GPLVM☆12Updated 6 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated last year
- Exercises and examples for the latent dynamics workshop☆19Updated 2 months ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 6 months ago
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆10Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Poisson Identifiable VAE (pi-VAE)☆52Updated 4 years ago
- The framework for inferring Langevin dynamics from spike data☆45Updated 4 months ago
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- ☆81Updated 3 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆140Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 5 months ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- ☆26Updated 3 months ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆68Updated 2 years ago
- ☆20Updated 3 years ago
- Simulations illustrating the results of full-FORCE.☆13Updated 6 years ago
- ☆30Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- ☆74Updated 3 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago