Analysis of electrophysiological data recorded with the Axona or OpenEphys recording systems
Project description
Synopsis
NB THIS IS NOW OUT OF DATE AS OF 2019_10_02
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:
- 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 is great but limited. This extends that functionality.
Installation
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:
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.
Tests
To be implemented.
Contributors
Robin Hayman.
License
Do what you want license.
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