I am undergraduate student in mathematics and a complete beginner in the field of neuroscience. I recently started a project in Mathematical biology which brought me to the above mentioned paper. I couldn't understand what is meant by the "linear spatial weightings" and "specific temporal windows" in the following passage :
"We used a machine learning approach to identify linear spatial weightings of the EEG sensors for specific temporal windows which optimally discriminate between target (faces) and non-target (cars) trials."
I would really appreciate if someone could break these things down in simpler terms and if possible suggest me some sources to refer. ( I was wondering if the 'linear spatial weightings' here is similar to the concept of 'Center of mass' which can be said as 'linear spatial weightings' of mass; just a guess.And the 'specific temporal windows' is some continuous range in the 'time taken' (to respond to stimulus) axis. Again, only a guess.)
- Philiastides, M. G., & Sajda, P. (2006). Temporal characterization of the neural correlates of perceptual decision making in the human brain. Cerebral Cortex, 16(4), 509-518.