akcarsten / spike_sorting
Python implementation of signal processing techniques and K-means clustering to sort spikes.
☆84Updated 5 years ago
Alternatives and similar repositories for spike_sorting:
Users that are interested in spike_sorting are comparing it to the libraries listed below
- Collection of tutorials about methods of computational neuroscience using Python☆76Updated 8 years ago
- A general framework for interpreting wide-band neural activity☆159Updated 3 years ago
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- python implementations of Analyzing Neural Time Series Textbook☆182Updated 3 years ago
- Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be us…☆86Updated 2 months ago
- 🕝 Time-warped principal components analysis (twPCA)☆126Updated 4 years ago
- Multichannel time series lossless compression in pure Python based on NumPy and zlib☆39Updated last month
- A class for using ML algorithms for spike prediction☆60Updated 7 years ago
- Fast and scalable spike sorting in python☆89Updated last year
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆85Updated 10 months ago
- YASS: Yet Another Spike Sorter☆66Updated 2 years ago
- Elephant is the Electrophysiology Analysis Toolkit☆208Updated 3 weeks ago
- Python-module for calculation of extracellular potentials from multicompartment neuron models and networks☆79Updated 3 months ago
- Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techni…☆78Updated 9 years ago
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆46Updated 3 months ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Modules for processing extracellular electrophysiology data from Neuropixels probes☆114Updated 8 months ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- MountainLab is data processing, sharing and visualization software for scientists. It is built around MountainSort, spike sorting softwar…☆44Updated 5 years ago
- Problem sets and materials for systems and computational neuroscience course☆16Updated 3 weeks ago
- Extended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).☆22Updated last year
- A short course for getting started with deep learning for intracranial extracellular neurophysiology.☆35Updated 3 years ago
- A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering☆130Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 2 months ago
- Python implementation of spike distance metrics☆73Updated 8 months ago
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆136Updated 7 years ago
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆48Updated last year
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- 🦀🦀🦀 Sort spikes from extra-cellular recordings using neural networks. Fully automated.☆19Updated 2 years ago