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πŸ¦€πŸ¦€πŸ¦€sort spikes. +Neural networks powered. + fully automated

License: GNU General Public License v3.0

MATLAB 96.06% CSS 3.40% HTML 0.54%

crabsort's Introduction

πŸ¦€ crabsort

GitHub last commit

Installation

Using a MATLAB toolbox

The simplest way to install crabsort is to download this toolbox. Drag it onto your MATLAB workspace, and it should automatically install itself.

Using git

Clone these repos:

# bash
git clone https://github.com/sg-s/crabsort
git clone https://github.com/sg-s/puppeteer
git clone https://github.com/sg-s/srinivas.gs_mtools

and add the all to your MATLAB path.

Updating and uninstalling

crabsort supports built-in methods to upgrade and update:

% matlab
crabsort.update
crabsort.uninstall

Usage

[more detailed docs coming soon...]

Keyboard actions

Key Action
a Scroll to beginning of file
z Scroll to end of file
Spacebar Jump to next uncertain spike (as predicted by Neural Network)
g generate data for Neural network
⇧ + ↑ jump to the weirdest spike
⇧ + ↓ jump to a next less weird spike
p Predict spikes using Neural network
r reset zoom
0 Set channel as having no spikes
↑ Select channel above currently chosen channel
↓ Select channel below currently chosen channel
β†’ Load next file in dataset
← Load next file in dataset
p Predict spikes using Neural network

License

GPL v3

If you plan to use crabsort for a publication, please write to me for appropriate citation.

crabsort's People

Contributors

alec-hoyland avatar sg-s avatar

Watchers

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