ContextLab / seqnmfLinks
An algorithm for unsupervised discovery of sequential structure
☆28Updated 7 years ago
Alternatives and similar repositories for seqnmf
Users that are interested in seqnmf are comparing it to the libraries listed below
Sorting:
- A class for using ML algorithms for spike prediction☆61Updated 7 years ago
- Fractional ridge regression☆49Updated 3 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆176Updated 2 years ago
- Calculate phase-amplitude coupling in Python (and Matlab).☆26Updated 8 years ago
- Tools for spike data analysis and visualization☆110Updated 2 years ago
- Dynamical Components Analysis☆33Updated 4 months ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- YASS: Yet Another Spike Sorter☆70Updated 3 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆30Updated 5 years ago
- Python implementation of spike distance metrics☆75Updated last year
- 🕝 Time-warped principal components analysis (twPCA)☆128Updated 4 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 4 years ago
- Efficient python code for running ridge regression with cross validation☆49Updated 2 months ago
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated 5 months ago
- ☆140Updated 2 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- An algorithm for unsupervised discovery of sequential structure☆169Updated last year
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆86Updated last week
- a Python machine learning library for neurophysiology data☆36Updated 7 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago
- 🔋 Utilities for scientific python☆19Updated 3 months ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- A general framework for interpreting wide-band neural activity☆159Updated 4 years ago
- STATS320: Statistical Methods for Neural Data Analysis☆198Updated 7 months ago
- Cycle-by-cycle analysis of neural oscillations.☆93Updated 2 months ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆55Updated 9 years ago
- latent manifold tuning model / P-GPLVM☆13Updated 6 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆58Updated 10 months ago
- ☆74Updated 3 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆72Updated 5 years ago