Differences between the Cyton and the Ganglion
Hey there!
I read the FAQ and the technical specifications about the Ganglion as well as the Cyton, and there are a couple of things that I am not quite sure about:
- The Cyton resolution is 32 bit per channel, am I right? What about the ganglion, I couldn't find anything on that...
- Are there any other differences next to the channel count and the temporal resolution (250 vs 200 hz sampling) between the cyton and the ganglion?
- What would then be the difference in simply purchasing 2 Ganglions instead of one cyton next to the differences mentioned above?
Thanks a lot in advance for any help 

Regards,
Luc
Comments
Merged your new thread "Ganglion vs Cyton" into this existing thread.
Regards,
William
While the Cyton and Ganglion both sample a 24-bit word, the Ganglion compresses that data and transmits only 18-bits. During worse case conditions, the Ganglion will lose 6 bits of resolution. In many circumstances, this does not occur and the data transmitted will be lossless, but if the signal contains large and fast amplitude changes there will be a loss of resolution.
Thanks,
Michael
Yep, I have several of those EEG amps from the old days. I'm seeing a minimum noise floor of about 1.4 microvolts rms from the Ganglion here, measured in a faraday cage with all inputs shorted to ground. There are also some differences in noise floor among channels.
Nowadays, there's a lot of interest in gamma in the research lit, and gamma amplitude is typically very low, often only a few microvolts, so noise figures are more important than they were in the old days.
Best regards,
Michael
Agreed.
But use of synchrony measures doesn't mitigate the need for a low noise channel. Wideband noise degrades precision estimation of phase in coherence calculations. It also reduces reliability of most other synchrony algorithms.
Take a look at synchrony algorithms sometime. Nearly all of them are calculated over a fixed time interval, and the introduction of this interval increases latency of the feedback signal, which is a problem for neurofeedback.
Best regards,
Michael