Analysis of electrophysiological data recorded with the Axona recording system
Tools for the analysis of electrophysiological data collected primarily with Axona recording products using Python.
## 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:
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) `
Analysis using Axona’s Tint cluster cutting program is great but limited. This extends that functionality.
Easiest way is with pip (under Linux, don’t know how this works under other OS’s):
> pip install dacq2py
This should install all the pre-requisites, which are as follows:
- [astropy](http://www.astropy.org/) (for NaN-friendly convolution)
Optional packages include:
Download the files and extract to a folder and make sure it’s on your Python path
## API Reference
Most classes/ methods have some explanatory text. The files in the docs folder are extracted from that using standard Python tools.
To be implemented.
Do what you want license.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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|Filename, size dacq2py-0.1.7.tar.gz (108.7 kB)||File type Source||Python version None||Upload date||Hashes View|