Metadata-Version: 2.1
Name: ephysiopy
Version: 1.5.32
Summary: Analysis of electrophysiological data recorded with the Axona or OpenEphys recording systems
Home-page: https://github.com/rhayman/ephysiopy
Author: Robin Hayman
Author-email: r.hayman@ucl.ac.uk
License: MIT
Description: ## Synopsis
        
        Tools for the analysis of electrophysiological data collected with the Axona or openephys recording systems.
        
        ## Installation
        
        ephysiopy requires python3.6 or greater. The easiest way to install is using pip:
        
        > python3 -m pip install dacq2py
        
        Or similar.
        
        This will install all the pre-requisites, which are as follows:
        
        * numpy
        * scipy
        * matplotlib
        * scikits-learn
        * [astropy](http://www.astropy.org/) (for NaN-friendly convolution)
        * skimage
        * [mahotas](http://mahotas.readthedocs.org/en/latest/)
        * h5py
        
        I haven't yet tried this in a conda like environment but a quick google shows it should be pretty easy.
        
        ## Code Example
        
        Main entry class is Trial contained in dacq2py_util i.e.
        
        ```
        import dacq2py_util
        T = dacq2py_util.Trial('/path/to/dataset/mytrial')
        ```
        
        The "usual" Axona dataset includes the following files:
        
        * mytrial.set
        * mytrial.1
        * mytrial.2
        * mytrial.3
        * mytrial.4
        * mytrial.pos
        * mytrial.eeg
        
        Note that you shouldn't specify a suffix when constructing the filename in the code example above.
        
        You can now start analysing your data! i.e.
        
        ```
        T.plotEEGPower()
        T.plotMap(tetrode=1, cluster=4)
        ```
        
        ## Motivation
        
        Analysis using Axona's Tint cluster cutting program or phy/ phy2 (openephys) is great but limited. This extends that functionality.
        
        Optional packages include:
        
        * [klustakwik](https://github.com/klusta-team/klustakwik)
        
        Download the files and extract to a folder and make sure it's on your Python path
        
        ## Contributors
        
        Robin Hayman.
        
        ## License
        
        Do what you want license.
        
Platform: UNKNOWN
Requires-Python: >=3.5
Description-Content-Type: text/markdown
