akcarsten / spike_sortingLinks
Python implementation of signal processing techniques and K-means clustering to sort spikes.
☆85Updated 6 years ago
Alternatives and similar repositories for spike_sorting
Users that are interested in spike_sorting are comparing it to the libraries listed below
Sorting:
- A general framework for interpreting wide-band neural activity☆159Updated 4 years ago
- EntroPy: complexity of time-series in Python (DEPRECATED)☆160Updated 4 years ago
- Collection of tutorials about methods of computational neuroscience using Python☆81Updated 8 years ago
- A short course for getting started with deep learning for intracranial extracellular neurophysiology.☆34Updated 3 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- python implementations of Analyzing Neural Time Series Textbook☆185Updated 4 years ago
- A tutorial on neuroinformatics resources for computational modellers☆68Updated 6 years ago
- ☆141Updated 2 years ago
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆147Updated 8 years ago
- Preconditioned ICA for Real Data☆117Updated this week
- Responses of 10,000 neurons to 2,800 natural images☆72Updated 6 years ago
- A class for using ML algorithms for spike prediction☆61Updated 7 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…☆94Updated 10 months ago
- a Python machine learning library for neurophysiology data☆36Updated 7 years ago
- interactive analysis of calcium imaging data from larval zebrafish☆137Updated 6 years ago
- Course materials for the 2018 Summer Workshop on the Dynamic Brain☆22Updated 7 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 7 years ago
- Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techni…☆82Updated 10 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆94Updated 2 months ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 4 years ago
- code for decoding speech as text from neural data☆58Updated last year
- STATS320: Statistical Methods for Neural Data Analysis☆197Updated 6 months ago
- An algorithm for unsupervised discovery of sequential structure☆28Updated 7 years ago
- Digital signal processing for neural time series.☆332Updated last month
- A multi-purpose GPU-accelerated open-source suite for brain data visualization☆253Updated last year
- An implementation of piecewise linear time warping for multi-dimensional time series alignment☆187Updated last year
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆314Updated 3 weeks ago
- NSCI 801 (Queen's U) Quantitative Neuroscience course materials☆111Updated 10 months ago
- a collection of packages for ML projects, written in Tensorflow's Python API☆126Updated 11 months ago