Syntalos is a software for timestamp-synchronized parallel data acquisition from diverse data sources
and for closed-loop interventions.
Among many other things, Syntalos supports:

<ul><li>Intan RHD/RHS systems, Open Ephys acquisition boards, and Neuropixels probes via remote SpikeGLX</li><li>UCLA Miniscopes for calcium imaging in freely moving animals</li><li>Many industrial and generic cameras</li><li>Microcontrollers and I/O boards via Firmata or MicroPython</li><li>Online signal and video processing</li></ul>

The modularity of Syntalos allows it to be used for a wide variety of experiments, and it often can be used
without any programming skills. Data sources, sinks, and processing blocks can be connected graphically with
virtual "wires" to form a data flow graph using drag &amp; drop, to represent how data should be acquired,
displayed, or stored.
If more flexibility is needed, Syntalos can be extended with Python scripts, live-programmed microcontrollers,
or custom modules written in Python or C++.
For all data sources, Syntalos ensures timestamps of incoming data are aligned, so the individual pieces of
data can be correlated without additional processing or external synchronization.
Multiple Syntalos instances on different computers can also be started and stopped in sync over the network.



All data and metadata generated from an experiment run is stored in a well-defined, comprehensive structure,
making it easy to compare, pool, or share data between experimentalists with different research questions.