dLDS-Decomposed-Linear-Dynamics / dLDS-Discrete-Python-ModelLinks
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
☆10Updated 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
- ☆16Updated 9 months ago
- ☆23Updated last year
- ☆13Updated 2 years ago
- PCM toolbox - implementation in Python☆13Updated 2 months ago
- ☆20Updated last year
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 4 months ago
- large scale variational Gaussian state-space models☆14Updated last week
- Inverse optimal control for continuous psychophysics☆27Updated last month
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆65Updated last week
- ☆25Updated 2 months ago
- Network plotting python package☆12Updated 3 years ago
- ☆20Updated 3 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 3 months ago
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 3 weeks ago
- A nascent Jax-based package for virtual brain modeling.☆11Updated last month
- ☆30Updated last year
- ☆11Updated 2 years ago
- Analysis code used to create figures in Gao et al., 2017☆15Updated 8 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Analysis of hippocampal activity in the towers task☆20Updated 4 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 3 months ago
- ☆11Updated last year
- ☆26Updated 5 months ago
- Convert biological neuronal networks to artificial recurrent neuronal networks☆21Updated 3 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- Dynamic Causal Modelling for MNE and the nipy ecosystem☆22Updated 7 years ago