slinderman / recurrent-slds
Recurrent Switching Linear Dynamical Systems
☆101Updated last year
Alternatives and similar repositories for recurrent-slds:
Users that are interested in recurrent-slds are comparing it to the libraries listed below
- Recurrent state-space models for decision making☆30Updated 2 years ago
- ☆92Updated 6 years ago
- ☆24Updated last year
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Dynamical Components Analysis☆31Updated last year
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆92Updated 5 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆63Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- Code for Galgali et al, 2023☆12Updated 2 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 7 months ago
- Inverse optimal control for continuous psychophysics☆26Updated last month
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆17Updated 7 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆12Updated 2 years ago
- The COntextual INference (COIN) model☆20Updated 5 months ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 6 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆14Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- ☆13Updated 2 years ago
- ☆46Updated 2 years ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆20Updated 5 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago