Xu Cui

 

   



409 Stories by Xu Cui

Google Dataset search, a great tool for fNIRS and fMRI?

Google just launched a new search engine: Google Dataset search. With this app, scientists can search public datasets published in scientific journals (and possibly...
0 35 sec read

fNIRS 2018

fNIRS 2010 conference will be held during October 5-8, 2018 in Tokyo, Japan. You may find more information at http://fnirs2018.org/. The early registration deadline is...
0 5 sec read

Temporal resolution of CW fNIRS devices

This is a guest post by Ning Liu from Stanford University. Temporal resolution provides information on the distance of time between the acquisitions of...
1 1 min read

Deep learning training speed with 1080 Ti and M1200

I compared the speed of Nvidia’s 1080 Ti on a desktop (Intel i5-3470 CPU, 3.2G Hz, 32G memory) and NVIDIA Quadro M1200 w/4GB GDDR5,...
2 1 min read

You can start to use Stork in 10s!

Stork is a simple app for researchers to follow up scientific publications. It only takes me 10s to start. https://www.storkapp.me/?ref=alivelearn
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Find cheapest flight

Another option is https://www.kayak.com/flights, which is also useful to find cheapest flight. I booked a direct flight (non-stop) from San Francisco to...
0 25 sec read

Recommend 3blue1brown

When I was in high school and saw the following equation, my mind was blown! Why is Pi here? Isn’t it supposed to show...
0 21 sec read

To beginner: task-based fNIRS study design (2)

This is a guest post by Ning Liu from Stanford University. – A basic block design includes two conditions: task condition and control condition....
2 1 min read

浅谈近红外脑成像(fNIRS)任务态实验设计(二)

本文作者是斯坦福大学刘宁 传统的组块设计(block design)通常包括两种组块: 任务组块和控制组块,又被称为“AB block”设计(如图1A)。这种设计基于一个假设: 两种组块条件下的意识态是线性叠加的,它们之间没有相互作用。因此可以用两种条件下的意识态相减。 尽管这种假设往往是不成立的,但是这种实验设计通常可以得到比较强的信号,易于寻找被任务激活的脑区,并得到比较稳健的实验结果,所以这种设计还是一直得到广泛使用。常用的组块设计,每种条件包括六个以上的实验组块(epoch), 一个实验组块持续10到30秒时间。例如,我们用过下面这种组块设计的面部表情实验: R-F-S-F-S-F-S-F-S-F-S-F-S-R。其中, R 代表安静状态组块,F代表恐惧的面部表情组块,S代表模糊化的面部表情组块。每个刺激组块(both F and S)持续20秒,安静组块(R) 持续30秒(Liu, et al. 2015)。 事件设计(event-related design, 如图1B)能够呈现单个的刺激而不是以组块的形式呈现,单个的刺激之间有长短变化的时间间隔,设计更加灵活,可以提供比组块设计更多的信息,例如血流动力学响应函数(HRF)的信息,因此也经常被使用。但为了得到较稳定的结果需要刺激重复次数较多,因此事件设计总的实验时间通常较长。 另一种比较常见的设计是混合设计(mixed design,如图1C),就是把组块设计和事件设计结合起来,既有任务组块和控制组块的区分,单个刺激之间的时间间隔又是长短变化的。这种设计的优点是既易于得到被任务激活的脑区,又能得到HRF的信息。缺点是需要基于更多的假设,对HRF的估算也较事件设计差一些。
0 9 sec read

To beginner: task-based fNIRS study design (1)

This is a guest post by Ning Liu from Stanford University. — For someone who has no imaging background and just began to use...
1 45 sec read