{"id":522,"date":"2009-11-29T12:21:02","date_gmt":"2009-11-29T16:21:02","guid":{"rendered":"http:\/\/nim.ir\/?p=522"},"modified":"2009-11-29T12:21:02","modified_gmt":"2009-11-29T16:21:02","slug":"definition-of-the-master-thesis-2","status":"publish","type":"post","link":"http:\/\/nim.ir\/?p=522","title":{"rendered":"Definition of the Master Thesis (2) – Draft"},"content":{"rendered":"

Title:<\/strong> Modeling human auditory synchronization behavior based on EEG data<\/p>\n

Student:<\/strong> –
\nSupervisor:<\/strong> –
\nCo-supervisors:<\/strong> Nima Darabi<\/a>, PhD at Q2S \/ Peter Svensson<\/a>, Professor, IET and Q2S
\n Semester:<\/strong> Spring 2010<\/p>\n

An overall view: <\/strong>While dancing, performing or listening to a rhythmic music, we are synchronizing our reactions based on the auditory stimuli. The characteristics of such an action depend on how we use our short-term auditory memory, as the ability to recall something heard very recently. Every suggested synchronization model should take the role of this memory into account. The traditional way of understanding this memory function is analysis of the recorded behavior of synchronous cooperative subjects such as processing of their produced sound signals. In addition to this, the measurement of the electrical brain activity might be a very useful source, assigning to the relative sound signals and provided by EEG’s good temporal resolution.<\/p>\n

The Assignment: <\/strong>In this suggested project, We will do experiments in which subjects passively listen to hand claps, in order to find out how that translates to EEG activity. We will set up some well-defined and simple subjective experiments with auditory stimuli and use quantitative EEG methods (mathematical measurement of aspects of the EEG signal) to analyze the provided information. The process should be passive given the circumstances such as EEG sensitivity to body movements and their results are supposed to address these questions:<\/p>\n