Hi so there is an internship at my university and the research uses the RSA technique as part of the project. They don’t explicitly say that you need a great understanding of the technique but I’ve read a few papers and I’m absolutely baffled as to how this technique works and what it is showing? I understand the the technique can be used to produce RDM which shows the extent to which the response to certain stimuli is the same/different but that’s the extent of my understanding. Does the technique allow for the comparison of responses to stimuli across brain regions as well as a comparison of responses to different stimuli in the same region? and to what types of insight into behaviour can this technique give? I’d really welcome any insight on this :).
Hi,
I used the multimedia stimulus of one minute to elicit emotions in human participants and recorded their brain responses. While watching the stimulus, I asked participants to click whenever they are feeling any emotion. Please note the word whenever which means in the stimulus of one minute there could be different instances where person can feel say happy (for happy stimulus). The intention behind this to explore the transition period up to the moment when participant felt any emotion. However, as you may already guess that the clicking and feeling of emotion cannot happen at the same time. The click was introduced only to achieve some temporal locality but not as precise as even to one second. Moreover, it is hard to know exactly when the subject before the click felt the emotion (ie. was it one second before or two-second before or three-second before the click). In an attempt to answer this question, I came across temporal representational similarity analysis (tRSA). Many of the research articles concerning temporal representational similarity analysis are comparing representations of the model with the neural recordings. I didn't come across an article which does tRSA (with temporal window) across subjects to find out the similarity in stimulus representation that can help decide individual time point across subjects with high representational correlation.
Please feel free to criticize and ask if the question is not clear.
Please advise some solutions.
Marco Giampaolo becomes new Milan manager this summer. This is an example of his style when he managed Empoli. Similarities with Maurizio Sarri are obvious. They both preferred build attack from the back, then quickly shift ball forward through vertical passes.
Link: https://twitter.com/Dino_Grgic/status/1153621872296247301
Are there any scholars of Islam or the Koran who analyze the material in a similar way to Liberal Christian theologians? Liberal theologians generally analyze the Bible and Christianity in non-literal ways, interpret the stories as metaphorical and allegorical, or use a mythological understanding. Some liberal Christians go so far as to be agnostics, and do not use any reference to the supernatural. I am looking for equivalents in the study of Islam.
I know this isn't very linux related, but I'm posting it here since there might be linux tools for this.
Let's say I have 200 sets of data, where one set is made up of 8 values from 0 to 360. I want to take the first data set and compare it against the other 199 data sets to find the ones that is the most similar to it.
By similar I mean ones that are very numerically similar (as in 220 and 225 are similar, but 220 and 35 are not).
EDIT: By similar, I mean within +-10 units of each other. The values should also loop, where 1 and 360 are similar to each other (like values on a circle - I'm using this for HSV color values).
Sometimes when I write in different scripts i have very different handwriting and I'm wondering if the principals would apply to people writing in scripts they learned 'consciously' rather than through early muscle memory training (or something like that).
