JoramKeijser / SVCALinks
Estimating the dimensionality of neural data using Shared Variance Component Analysis (SVCA)
☆12Updated 11 months ago
Alternatives and similar repositories for SVCA
Users that are interested in SVCA are comparing it to the libraries listed below
Sorting:
- NEural MOdelS, a statistical modeling framework for neuroscience.☆107Updated last week
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆55Updated 7 months ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆30Updated 6 years ago
- ☆81Updated 3 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆85Updated 2 months ago
- Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF☆103Updated 2 weeks ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆88Updated 2 months ago
- YASS: Yet Another Spike Sorter☆70Updated 3 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆73Updated 3 months ago
- Exercises and examples for the latent dynamics workshop☆19Updated 3 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- a visualization method for neural data☆238Updated 6 months ago
- ☆55Updated 3 months ago
- ☆59Updated 3 years ago
- ☆52Updated last week
- ☆22Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated last week
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- Machine Learning Methods for Neural Data Analysis☆19Updated 5 months ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆117Updated 9 months ago
- Calibrated inference of spiking from calcium ΔF/F data using deep networks☆152Updated 2 weeks ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆30Updated 2 years ago
- Schemata and libraries for neuroscientific data☆29Updated last month
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆50Updated last month
- IBL core shared libraries☆63Updated this week
- Python tools for participating in Neural Latents Benchmark '21☆63Updated last year
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 8 months ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 6 months ago