JoramKeijser / SVCA
Estimating the dimensionality of neural data using Shared Variance Component Analysis (SVCA)
☆9Updated 4 months ago
Alternatives and similar repositories for SVCA:
Users that are interested in SVCA are comparing it to the libraries listed below
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆48Updated 3 weeks ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆26Updated 6 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆58Updated last month
- ☆48Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- 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
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 6 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆93Updated this week
- ☆29Updated 2 years ago
- Toolbox for analyzing behavioral videos and neural activity☆58Updated last year
- Machine Learning Methods for Neural Data Analysis☆13Updated 7 months ago
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆65Updated last week
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- ☆29Updated last year
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆37Updated 3 years ago
- ☆47Updated 5 months ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Tools for analyzing spiking data from single-neuron recodings.☆26Updated 2 weeks ago
- Revealing neural correlates of behavior without behavioral measurements☆14Updated 5 years ago
- ☆19Updated 3 years ago
- Neuroelectrophysiology object model and data analysis in Python.☆51Updated 2 weeks ago
- Modeling animal vocalizations with variational autoencoders☆22Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Schemata and libraries for neuroscientific data☆20Updated 5 months ago
- ☆75Updated 3 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆14Updated last year
- Preferential Subspace Identification Algorithm☆52Updated 5 months ago