catniplab / latent_dynamics_workshopLinks
Exercises and examples for the latent dynamics workshop
☆19Updated 2 months ago
Alternatives and similar repositories for latent_dynamics_workshop
Users that are interested in latent_dynamics_workshop are comparing it to the libraries listed below
Sorting:
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆69Updated 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
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated last week
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆86Updated 2 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- ☆59Updated 3 years ago
- ☆30Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated 5 months ago
- Python tools for participating in Neural Latents Benchmark '21☆63Updated last year
- ☆81Updated 3 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆29Updated 2 years ago
- ☆20Updated 3 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 6 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆84Updated last month
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆30Updated 6 months ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 6 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year
- jPCA for Neural Data Analysis in Python☆50Updated 2 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
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- large scale variational Gaussian state-space models☆14Updated 2 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆106Updated this week
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 5 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆66Updated last month
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 7 months ago
- ☆13Updated last month
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆36Updated 3 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 7 months ago