Select an older version of our software using the drop-down menu below. Each version is listed with its release date.
If you have an expired software license key, you will need to use a version of the software that was released before the key expiration date.
What's New in Version 3.2.2
We've updated how devices are added and how the diagnostic program is run.
Video: Adding Hardware Devices to Sirenia® Acquisition
Video: Running the Diagnostic Tool
Windows 10/11
Intel I5 or AMD Ryzen 5 processor
8GB Ram
1GB VRAM video card (onboard video not recommended)
1TB storage HDD (amount of storage required varies greatly with number of devices, length of recording, and data rate)
See changes and updates made in each Sirenia ® version. To view the change logs: 64-bit & 32-bit.
To view a list of open source libraries used, click here.
Download archived versions of Sirenia®. We recommend you uninstall any previous version of Sirenia® prior to installing the archived version.
Receive an email when a new version of Sirenia ® software is released. Sign up for our software mailing list here. For product and conference notifications, sign up here.
The Sirenia® software program is NOT supported for Apple computers. Our hardware and software testing is performed on PCs with Windows 10/11. To run our Sirenia® on an Apple computer:
• Install a program that can run Windows applications. These include programs such as bootcamp or parallels.
You will also need to obtain a Windows OS.
This should allow you to run most features of our analysis software (Sleep, Seizure, XY). We do not
recommend using Macs to record experiments in Sirena Acquisition. However, a Mac can be used to view
data, video, and to access our XY tracking analysis program.
During the installation process, you may receive an error that says "mscvr100.dll is not installed". That error
can occur if the Microsoft Visual C++ 2010 Service Pack 1 Redistributable Package MFC Security Update is
not installed. If this happens to you, click this link to install the package.
• Another option is to use Pinnacle’s Python API. For documentation and code, please go here.