250 or 125 samples per second. Generally for SSVEP, just using some channels in the occipital region will be sufficient. You likely do not need the Daisy / 16 channels. So your sample rate will be 25

My thesis is about SSVEP-based BCI. Therefore, single drops per second might affect results very slightly. I noticed without packet drop, VEP responses are fine and acceptable. I use C++ for performan

Since i can't get closer to USB port (i study SSVEP) i do need alternatives. Package drops occur randomly, after some point of movement, irregular times and if i place headset close (15-20cm) no drop

The other thread I mentioned showed several examples of VEP: SSVEP and cVEP, both of which should work. I would suggest the cVEP would be worthwhile to get on their contact list. The other links on th

I mentioned showed several examples of VEP: SSVEP and cVEP, both of which should work. I would suggest the cVEP would be worthwhile to get on their contact list. The other links on that post mentione

Looking at the MindAffect Ganglion Youtube video again, at the wiring. They might only be using TWO EEG channels, not 4. Although as far as the headset they seem to have at least 5 wires coming from t

SSVEP sounds exciting as well. Currently he is working with 2 buttons so the possibility of having 4 inputs is exciting and could make communication much faster for him.

This is Chip Audette's EEGHacker SSVEP post from 2014. There are many more SSVEP related threads on the forum here, at the above search links.

We are waiting to have a neuroscientist review the SSVEP widget algorithm in the OpenBCI GUI. The Networking widget sends out a normalized output from 0 to 1 for up to four SSVEPs.

Another type of VEP BCI, is called SSVEP, Steady State Visual Evoked Potentials. In this case the object(s) on the screen are each flashing at a fixed frequency. This is a simpler concept than cVEP, b

This indeed is SSVEP, not ERP.

https://openbci.com/forum/index.php?p=/discussion/1773/programming-cyton-without-rfduino-dongle-our-completed-ssvep-demo

https://openbci.com/forum/index.php?p=/discussion/1773/programming-cyton-without-rfduino-dongle-our-completed-ssvep-demo

We definitely need input from the community on the SSVEP widget! Please share your results/findings here in the forums or on GitHub as an issue and tag me.

Totally agree about the second monitor. I've struggled in the past with generating accurate SSVEP stimuli!

Kind of started with a loaded question. You’re welcome to go look at the code. SSVEP widget uses existing FFT data and you can select filtered data from a dropdown in the FFT widget.

Great. And what signal processing is applied to identify SSVEP?

I'm about to starting building a project on a Ganglion and have just seen on here that the OpenBCI GUI has a new beta SSVEP widget - awesome!

File "C:\Users\67544\Desktop\SSVEP\OpenBCI_MATLAB-master\Matlab-Python\open_bci_v3.py", line 75, in init

In another session with the same subject (me), my Gamma values were low. More in the range specified earlier. What explains this inconsistency in Gamma activity ? Also I was using the SSVEP widget but