Cognitive inferencing using MEG brain data analysis

Abstract

Working Memory is the small amount of information that is stored in the brain long enough for humans to use it. It is important in many cognitive functions and aids in problem solving. The Working memory task performance is fragile and depends on many aspects both permanent and situational. Behavioral attributes of a person might affect on their performance on cognitive tasks and have slightly different mechanism or response times for certain actions. We took advantage of availability of data in the HCP dataset, and performed analysis on behavioral attributes, fragility of performance in working memory tasks, and try to find a relationship between the two. MEG signals have a high temporal resolution, which makes them a good candidate to analyse absolute brain activity. This data can be studied to find insights about the individual subjects. MEG signals could have been used for analysing Working Memory Task further.