Welcome to openEPhys_DACQ repository¶
This is a system for automated experiments acquiring neural data using OpenEhysGUI. It combines online tracking from any number of cameras with a behavioural task program and peripherals for interacting with the subject. The package comes with an easy to use graphical interface.
The original purpose for this system was to collect neural data from rodents performing a navigational task in a large environment.
Installation¶
Installation of the Python package is straightforward:
pip install openEPhys_DACQ
openEPhys_Configuration # Starts package configuration script
For full functionality, the package has dependencies beyond Python repositories:
OpenEphysGUI for neural data acquisition
Raspberry Pis for video recording, tracking and task reward systems
Kilosort and/or KlustaKwik for spike sorting
If you’re setting up openEPhys_DACQ
for data processing only, then the only setup steps necesary are in Recording PC setup for Data Processing.
For detailed instructions on how to set everything up, follow the Installation instructions.
GitHub repository¶
Features¶
- Data synchronisation with OpenEhysGUI
Global clock TTL signal for precision synchrony
Logging messages with recording timestamps (e.g. pellet dropped)
- Real-time tracking and 1080p video recording
- Any number of cameras
Built-in calibration to same reference frame
- Multiple tracking methods
Motion
1 LED (brightest spot)
2 LED (different luminance)
- Reward devices
- Pellet Feeder
Releases specified number of pellets on command
Activation automated based on animal behaviour
WiFi controlled
- Milk Feeder
Releases milk or other liquid with pinch valve
Animal friendly - can be placed in the enviornment
Battery powered
WiFi controlled
- Automated behavioural task
New task programs can be integrated independently
Has messaging ability with OpenEphysGUI
Has real-time tracking information
Controls reward devices
- Navigational task available
Fully configurable flexible task program
Milk feeder reward based navigational task
Audio and/or light signals for trials
Concurrent foraging task with intelligent pellet scattering
- Processing pipeline for tetrode recordings
- Parallel implementation of 3 spike sorting methods
Kilosort
Klustakwik - offline detected spikes
Klustakwik - on OpenEphysGUI detected spikes
System overview and the user manual¶
In depth description of the system is in the System overview section of the User Manual
Installation instructions¶
This document details every step required for setting up an Ubuntu PC for electrophysiological data collection using OpenEhysGUI, separate tracking system using Raspberry Pis and two different Rasperry Pi based reward modules. The instructions detail every single step, every line of code required to get things running. Such detail is provided so that anyone could set it up, even those who have never used Linux before.
Occasionally the document includes instructions in double brackets, where it is not entirely clear if the step is important, but best to follow the instructions. E.g. ((Do this, in case otherwise something will not work later on)).
All terminal commands written here should be run while in home directory, unless instructed to call on a specific file. This ensures a sensible folder structure is created.
The instructions can be worked through in the order they are presented in the below table to set up the system from ground up.