yu-takagi / dSCA
Demixed Shared Component Analysis
☆13Updated 4 years ago
Alternatives and similar repositories for dSCA:
Users that are interested in dSCA are comparing it to the libraries listed below
- Machine Learning Methods for Neural Data Analysis☆13Updated 7 months 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
- Network plotting python package☆12Updated 3 years ago
- Estimation, analysis and decomposition of brainwave spatiotemporal dynamics☆28Updated 3 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆14Updated last year
- Methodological considerations for analyzing and interpreting neural oscillations.☆29Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆65Updated last year
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- ☆29Updated 2 years ago
- Dynamic Causal Modelling for MNE and the nipy ecosystem☆19Updated 7 years ago
- Project code for extracting neural population timescale from field potential data (LFP, ECoG, etc)☆17Updated 3 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- ☆48Updated 2 years ago
- ☆23Updated last year
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆29Updated 2 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- Spike sorting software being developed at Flatiron Institute, based on JRCLUST (Janelia Rocket Cluster)☆28Updated 2 years ago
- Tools, algorithms, and frameworks for managing and analyzing neural data.☆20Updated 3 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated 2 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆48Updated 2 weeks ago
- DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity☆17Updated 6 years ago
- Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…☆18Updated 3 years ago
- Repository for Sanchez-Romero, R., & Cole, M. W. (2021). "Combining multiple functional connectivity methods to improve causal inferences…☆21Updated last month
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 6 months ago
- Matlab tools for running M/EEG analyses - NO LONGER SUPPORTED - Please use Python Version Instead: https://github.com/OHBA-analysis/osl☆30Updated last year
- Convert biological neuronal networks to artificial recurrent neuronal networks☆21Updated 2 years ago
- ☆11Updated 7 years ago