RothkopfLab / lqgLinks
Inverse optimal control for continuous psychophysics
☆27Updated last week
Alternatives and similar repositories for lqg
Users that are interested in lqg are comparing it to the libraries listed below
Sorting:
- ☆23Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- ☆11Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆21Updated 2 months ago
- ☆23Updated 3 years ago
- Predictive coding in Python☆66Updated last year
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- The COntextual INference (COIN) model☆22Updated 10 months ago
- ☆19Updated last year
- ☆16Updated 8 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- ☆16Updated 5 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆10Updated last year
- Development of HSSM package☆94Updated 2 weeks ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- A package to train neural networks to perform various motor tasks☆67Updated last month
- ☆13Updated 2 years ago
- PyHGF: A neural network library for predictive coding☆87Updated last month
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated last year
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆97Updated 10 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated last year
- ☆13Updated 2 years ago
- Models and simulations for state space composition☆17Updated 6 months ago
- large scale variational Gaussian state-space models☆11Updated this week
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 2 months ago
- The Julia implementation of the generalised hierarchical Gaussian filter☆32Updated this week