schultzlab / Neural_ManifoldsLinks
A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and disease"
☆27Updated 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:
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆54Updated 4 years ago
- Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF☆103Updated this week
- ☆57Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 11 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆33Updated last week
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆47Updated 5 years ago
- IBL core shared libraries☆63Updated this week
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆54Updated 5 months ago
- NEural MOdelS, a statistical modeling framework for neuroscience.☆102Updated this week
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆83Updated 2 weeks ago
- Neuroelectrophysiology object model and data analysis in Python.☆50Updated 3 weeks ago
- Code accompanying Steinmetz et al., 2019☆60Updated 4 years ago
- WIP: Python port of Kilosort2☆50Updated 2 years ago
- A open toolbox of several machine learning approaches for sharp-wave ripple detection☆30Updated last year
- Preferential Subspace Identification Algorithm☆54Updated 3 months ago
- pynapple collaborative data analysis (high level python scripts)☆37Updated last year
- Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days☆66Updated this 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
- Code for Functional Mixed Models for Fiber Photometry☆13Updated last month
- A Matlab interface for reading and writing NWB files☆55Updated this week
- OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…☆71Updated last month
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- Tools for identifying sharp wave ripple events using LFPs☆38Updated 10 months ago
- This repo allows for the complete reproduction, from processed data, of all the main and supplemental figures in the manuscript Non-linea…☆24Updated 2 years ago
- "Approaches to Study Neural Circuits" course☆66Updated 8 months ago
- Machine Learning Methods for Neural Data Analysis☆19Updated 3 months ago
- Create NWB files by converting and combining neural data in proprietary formats and adding essential metadata.☆62Updated this week
- Modules for processing extracellular electrophysiology data from Neuropixels probes☆119Updated last year
- Tutorial☆11Updated 4 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆40Updated 3 years ago