machenslab / dPCALinks
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
☆303Updated 3 years ago
Alternatives and similar repositories for dPCA
Users that are interested in dPCA are comparing it to the libraries listed below
Sorting:
- An algorithm for unsupervised discovery of sequential structure☆166Updated last year
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆94Updated 3 years ago
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 5 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- A class for using ML algorithms for spike prediction☆61Updated 7 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- A python package that includes many methods for decoding neural activity☆454Updated 2 years ago
- Deconvolution of calcium imaging data☆98Updated 7 months ago
- Modules for processing extracellular electrophysiology data from Neuropixels probes☆119Updated last year
- Code accompanying Steinmetz et al., 2019☆60Updated 4 years ago
- YASS: Yet Another Spike Sorter☆70Updated 2 years ago
- ☆57Updated 2 years ago
- Elephant is the Electrophysiology Analysis Toolkit☆220Updated 5 months ago
- Python implementation of spike distance metrics☆74Updated last year
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- non-parametric inference for convolutional filters in poisson glms☆13Updated 3 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆83Updated 2 weeks ago
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated 3 weeks ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆36Updated last year
- Pytorch implementation of LocaNMF☆36Updated 5 years ago
- A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering☆134Updated 2 years ago
- Coding exercises for Neural Data Science at CSHL in 2019☆29Updated 5 years ago
- ☆27Updated 3 weeks ago
- Automatic spike sorting up to 64 channels☆53Updated 4 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago