fNIRS Tips, tutorials, code, examples
Raspberry Pi for research labs (3) Raspberry Pi for research labs (2) Raspberry Pi is a mini and incredibly cheap PC. The size is like a credit card, and the price is $35. See how small it is compared to my hand. If you connect Pi with a TV (or monit
If you are interested in the full package of xjview, including nirs related scripts, please fill the following form: Name Email If you are only interested in the display function of xjview, please go to https://www.alivelearn.net/xjview/ to download.
This is the 6th post of the series: Handy programs to visualize NIRS data When we do an experiment, we often repeat an event (or block) for a few times. For example, in a typical finger tapping task, we ask the participants to do a finger tapping for
When I was a student in Baylor College of Medicine, I spent most of my time in front of computers analyzing data. One day I noticed that a few fellow students and postdocs, as well as our advisor, are discussing something. I moved closer and found th
In my previous blog (https://www.alivelearn.net/?p=1426) and in our paper titled “NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation” (full text pdf available ), we have shown
Note: I am not affiliated with Artinis and they don’t pay me for this post. If you also sell portable NIRS device and would like to demo to me, I am happy to see it. Marco, the salesman of Artinis, gave me a demo of their wireless/portable NIRS
Can you find any pattern in the two signals, green and blue? The blue signal is the brain wave (measured by NIRS) of a person when he is pressing some buttons (the timing of button pressing is shown in the vertical lines); the green signal is also br
This is a manuscript Chao and myself prepared for a “commentary”. We think NIRS based hyperscanning has a great potential on the shift from one-person neuroscience to 2-people neuroscience. —- Toward an Ecologically Valid Second-per
Some noise is easy to detect – simply plotting the time courses of NIRS signal, you will find the noise so out of range and you will discard the data. However, I find in some instances the noise level seems to be in the normal range but the dat
