slinderman / recurrent-slds
Recurrent Switching Linear Dynamical Systems
☆109Updated 2 years ago
Alternatives and similar repositories for recurrent-slds:
Users that are interested in recurrent-slds are comparing it to the libraries listed below
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Dynamical Components Analysis☆32Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- ☆94Updated 6 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆97Updated 9 months ago
- ☆51Updated 2 years ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆65Updated 2 months ago
- ☆23Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 7 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated 2 weeks ago
- The COntextual INference (COIN) model☆21Updated 9 months ago
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 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
- Black box variational inference for state space models☆1Updated 8 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆51Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 10 months ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated last month
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- Inverse optimal control for continuous psychophysics☆27Updated 2 months ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago