timkimd / plndeLinks
Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
☆13Updated 4 years ago
Alternatives and similar repositories for plnde
Users that are interested in plnde are comparing it to the libraries listed below
Sorting:
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 3 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 7 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated last week
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆50Updated last month
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- ☆24Updated 2 years ago
- ☆26Updated last week
- Analysis of hippocampal activity in the towers task☆20Updated 4 years ago
- ☆16Updated last month
- ☆30Updated 3 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years 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
- Demixed Shared Component Analysis☆13Updated 5 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 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
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 6 years ago
- Preferential Subspace Identification Algorithm☆54Updated 5 months ago
- This repository contains the main scripts for local linear segmentation and subsequent analysis of the resulting model space☆15Updated 5 years ago
- ☆59Updated 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 8 years ago
- Machine Learning Methods for Neural Data Analysis☆19Updated 5 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆39Updated last year
- A package to train neural networks to perform various motor tasks☆69Updated last month
- 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
- Recurrent Switching Linear Dynamical Systems☆113Updated 2 years ago
- STATS320: Statistical Methods for Neural Data Analysis☆198Updated 4 months ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆102Updated last year