AntonioCCosta / maximally_predictive_states
Code for reproducing the results of the preprint Maximally Predictive Ensemble Dynamics from Data (2021)
☆13Updated 6 months ago
Alternatives and similar repositories for maximally_predictive_states:
Users that are interested in maximally_predictive_states are comparing it to the libraries listed below
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆58Updated last month
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- ☆29Updated last year
- ☆22Updated 5 years ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆26Updated 6 years ago
- This repository contains the main scripts for local linear segmentation and subsequent analysis of the resulting model space☆14Updated 4 years ago
- Utilities for formatting matplotlib figures☆31Updated last month
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated this week
- Preferential Subspace Identification Algorithm☆52Updated 5 months ago
- LaTeX templates for manuscripts. bioRxiv preprint and journal submission templates. For use on Overleaf.☆78Updated 10 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- ☆17Updated last year
- ☆29Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆48Updated 3 weeks ago
- Modified Python 3.0 implementation of MotionMapper (https://github.com/gordonberman/MotionMapper)☆29Updated 9 months ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 6 months ago
- SLEAP to Anipose triangulation pipeline for 3D multi-animal pose tracking.☆17Updated 5 months ago
- Spectral analysis tools for neuroscience data☆12Updated 3 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- Ensembling and kalman smoothing for pose estimation☆17Updated last week
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆22Updated 5 months ago
- Bayesian learning and inference for state space models☆12Updated 3 years ago
- A package to train neural networks to perform various motor tasks☆63Updated last month
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆33Updated 11 months ago
- Analysis of hippocampal activity in the towers task☆19Updated 3 years ago
- jPCA for Neural Data Analysis in Python☆47Updated last year
- Demo code for CAPTURE and DANNCE☆28Updated 3 years ago
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆65Updated last week
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆37Updated 3 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago