timkimd / plnde
Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
☆9Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for plnde
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆62Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆28Updated 2 weeks ago
- Code for Galgali et al, 2023☆11Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆44Updated 2 months ago
- Exercises and examples for the latent dynamics workshop☆16Updated last year
- ☆46Updated 2 years ago
- ☆29Updated 2 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆11Updated last year
- Analysis of hippocampal activity in the towers task☆18Updated 3 years ago
- Preferential Subspace Identification Algorithm☆49Updated 3 weeks ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆12Updated last week
- ☆24Updated last year
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆45Updated last week
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆25Updated 2 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆37Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆44Updated last year
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆16Updated 7 years ago
- ☆21Updated 4 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆74Updated 3 months ago
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated last year
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆26Updated 3 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆36Updated last month
- Python tools for participating in Neural Latents Benchmark '21☆56Updated 4 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year