dLDS-Decomposed-Linear-Dynamics / dLDS-Discrete-Python-ModelLinks
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
☆11Updated last year
Alternatives and similar repositories for dLDS-Discrete-Python-Model
Users that are interested in dLDS-Discrete-Python-Model are comparing it to the libraries listed below
Sorting:
- Code for Galgali et al, 2023☆13Updated 2 years ago
- ☆13Updated 2 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 6 months ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 6 months ago
- Exercises and examples for the latent dynamics workshop☆19Updated 3 months ago
- ☆31Updated last year
- ☆26Updated last week
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆39Updated last year
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated 2 months ago
- ☆16Updated last year
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated 2 months ago
- ☆22Updated last year
- ☆29Updated 8 months ago
- ☆20Updated 3 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Demixed Shared Component Analysis☆13Updated 5 years ago
- ☆24Updated 2 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 7 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- ☆18Updated 4 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- large scale variational Gaussian state-space models☆14Updated 2 weeks ago
- ☆30Updated 3 years ago
- Inverse optimal control for continuous psychophysics☆28Updated 4 months ago
- Entropy rate estimators for neuroscience☆26Updated 4 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Analysis code used to create figures in Gao et al., 2017☆15Updated 8 years ago
- jPCA for Neural Data Analysis in Python☆50Updated 2 years ago