search

KamitaniLab / GenericObjectDecoding

Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.
149 stars 47 forks source link

Training Session Image Representation #18

Closed kubrakyuz closed 4 years ago

kubrakyuz commented 4 years ago

Hi, I use your dataset in my thesis. I'm confused about one thing. You wrote in the training session that each image is presented once, but shouldn't we accept it as showing 5 pictures twice in each run? In other words, for instance is it correct to consider fMRI signals as twice generated for the 456th index image? image experimental

ShuntaroAoki commented 4 years ago

Hi,

Right. As you found out, we presented five randomly selected images twice in successive trials within each run (in your screenshot, image n3079230_8270, index 456). And the subject was asked to press a button when the same image was successively presented across trials. This is so-called one-back repetition task. We introduced the task to keep subject's attention on the stimuli and to ensure the subject is looking at the stimuli.

In our analysis, we excluded fMRI signals in the one-back repetition trials (in your screenshot, trial 7).