schultzlab / Neural_ManifoldsLinks
A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and disease"
☆25Updated last year
Alternatives and similar repositories for Neural_Manifolds
Users that are interested in Neural_Manifolds are comparing it to the libraries listed below
Sorting:
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 9 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆53Updated 3 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆21Updated 2 months ago
- pynapple collaborative data analysis (high level python scripts)☆37Updated last year
- ☆54Updated 2 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated last month
- Machine Learning Methods for Neural Data Analysis☆16Updated last month
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆38Updated 3 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- Preferential Subspace Identification Algorithm☆52Updated 3 weeks ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 4 months ago
- Code accompanying Steinmetz et al., 2019☆60Updated 3 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- WIP: Python port of Kilosort2☆51Updated last year
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated 3 months ago
- This repo allows for the complete reproduction, from processed data, of all the main and supplemental figures in the manuscript Non-linea…☆23Updated last year
- Tutorial☆10Updated 4 years ago
- Functions to assess quality of spike sorting results☆34Updated last year
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 2 months ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 7 years ago
- Create NWB files by converting and combining neural data in proprietary formats and adding essential metadata.☆61Updated last week
- IBL core shared libraries☆63Updated last week
- Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…☆23Updated 3 years ago
- jPCA for Neural Data Analysis in Python☆50Updated last year
- Tools for analyzing spiking data from single-neuron recodings.☆27Updated 3 weeks ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆100Updated this week
- Metrics for spike sorting validation/quality control☆13Updated 3 years ago
- MClust is a Matlab-based spike sorting toolbox for the separation of putative cells from multi-site neurophysiological recordings. It is…☆16Updated 2 years ago
- Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days☆63Updated this week