The BrainBay tutorial mentioned on this thread shows a simple alpha training protocol. It's also easy to do similar with neuromore.

Try searching on the following terms (search box lower right column) for other software packages that can process OpenBCI data: neuromore, BrainBay, BioEra, OpenViBE, LabStreamingLayer, Python, MATLAB

The Muse headset has a good reputation, and can be used both with their meditation software, and with 'neuromore', a language where you can build your own neurofeedback protocols.

I repeated the following tests on both neuromore and OpenBCI GUI both share the same results.

I am using 8 channels in the formation of the picture in the Neuromore screenshot. 

The trainings you mention are straightforward band amplitude trainings. This is easy to do in any of the VPLs such as BrainBay, BioEra, or neuromore. All of these support the current v3 OpenBCI boards

Thanks a lot for the neuromore advice.

Neuromore is another VPL visual programming language, that is now available. The Community edition is free.

Mac-reinstalling ftdi drivers, attempted to connect on Open Bci gui and Neuromore

Relatively new to the world of EEG and trying to get my head around Neuromore's OpenBCI classifier. Would anyone be able to shed some light on the attached screenshot? Some elaboration on the process

Neuromore is asking for beta testers for their mobile platforms (iOS and Android). You can sign up for access at the link below.

some kind of classifier / design in a VPL like neuromore, then that outputs OSC Open Sound Controller packets to your driver program which controls the art piece. Packages such as VVVV and PD Pure Da

So is that large drift away from zero I was recording in Neuromore a DC offset, or a very low frequency high amplitude signal? Or a mixture of both? I can see how the offset wouldn't be a problem if t

The overall latency from the output of OpenVibe/Neuromore to hearing/seeing the feedback is around 25ms. The audio engine has a latency of about 7ms, the visuals probably a bit more but sync of the t

OK, you're still talking about neuromore, this time on the PC?

It's possible the neuromore highpass might have an issue. You could instead use a Butterworth bandpass from say .5 to 45 hz. The filter order also makes a difference in terms of how sharp the skirts a

Well the filter in Neuromore OSX doesn't seem to work (have been doing this on my Macbook). A spectrum view after the filter shows a huge sub 1hz spike even with the high pass set at 5Hz.

http://docs.openbci.com/research tools/Neuromore

Once the DC offset is removed, all EEG signals will center around 0 uV, plus or minus at the most say 50 uV. If you are seeing -90 uV DC offset in neuromore, then something is amiss with your highpass

 Is it ok for the signal to be at -90 in Neuromore? It doesn't look anything like the test data and the magnitudes it is picking up are tiny.