jbakermans / ManifoldTutorialLinks
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
Alternatives and similar repositories for ManifoldTutorial
Users that are interested in ManifoldTutorial are comparing it to the libraries listed below
Sorting:
- ☆30Updated 2 years 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
- Machine Learning Methods for Neural Data Analysis☆16Updated 2 weeks ago
- Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18☆29Updated 6 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
- ☆19Updated 8 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆44Updated last year
- ☆27Updated 10 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆52Updated 2 months ago
- Coding exercises for Neural Data Science at CSHL in 2019☆29Updated 5 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- ☆52Updated 2 years ago
- IBL core shared libraries☆63Updated this week
- Code accompanying Steinmetz et al., 2019☆60Updated 3 years ago
- DataJoint pipeline for IBL project☆20Updated 2 years ago
- Project code for extracting neural population timescale from field potential data (LFP, ECoG, etc)☆17Updated 3 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- ☆23Updated 5 years ago
- ☆52Updated 3 months ago
- Tools for analyzing spiking data from single-neuron recodings.☆27Updated this week
- DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity☆17Updated 6 years ago
- Detect synchronous and overlapped spikes in extracellular recordings using Binary Pursuit (Pillow et al 2013)☆12Updated 10 years ago
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆66Updated last month
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- Multichannel time series lossless compression in pure Python based on NumPy and zlib☆39Updated 2 months ago
- Estimating the dimensionality of neural data using Shared Variance Component Analysis (SVCA)☆10Updated 6 months ago
- Fast optimisation of tuning curves by iterative refitting and decoding☆13Updated 2 months ago