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☆160Updated 3 years ago
- Collection of tutorials about methods of computational neuroscience using Python☆79Updated 8 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- A tutorial on neuroinformatics resources for computational modellers☆67Updated 5 years ago
- EntroPy: complexity of time-series in Python (DEPRECATED)☆158Updated 4 years ago
- A short course for getting started with deep learning for intracranial extracellular neurophysiology.☆34Updated 3 years ago
- Preconditioned ICA for Real Data☆113Updated 2 months ago
- python implementations of Analyzing Neural Time Series Textbook☆183Updated 3 years ago
- A class for using ML algorithms for spike prediction☆61Updated 7 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Responses of 10,000 neurons to 2,800 natural images☆70Updated 6 years ago
- A Python package to facilitate the development, parallel simulation, optimization and analysis of multiscale biological neuronal networks…☆161Updated last week
- Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techni…☆78Updated 10 years ago
- a Python machine learning library for neurophysiology data☆36Updated 6 years ago
- Timeseries analysis for neuroscience data☆252Updated this week
- NeuroTools is a collection of tools for representing and anlyzing neuroscientific data.☆32Updated 5 years ago
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆303Updated 3 years ago
- The PyNN 0.8 interface to sPyNNaker.☆19Updated 3 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆142Updated 8 years ago
- The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on ci…☆89Updated last month
- Python implementation of spike distance metrics☆74Updated last year
- Course materials for the 2018 Summer Workshop on the Dynamic Brain☆22Updated 7 years ago
- ☆139Updated last year
- interactive analysis of calcium imaging data from larval zebrafish☆135Updated 6 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆64Updated 7 months ago
- STATS320: Statistical Methods for Neural Data Analysis☆198Updated 2 months ago
- MNE-Features software for extracting features from multivariate time series☆151Updated last year
- Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction …☆49Updated last year