Indeed, research to date has focused on the replication of a large array EEG setup in which event-markers are used to temporally synchronize the EEG data to events of interest ( ) or temporal synchronization of time stamps between computers to determine when events occur. While most of the systems on the market offer software developer kits allowing scientists to access the raw data for research purposes-only a small amount of work has been done to validate the effectiveness of these systems for event-related brain potential (ERP) research (e.g., ). IntroductionIn recent years there has been an almost explosive growth of low-cost (i.e., less than $500 USD) electroencephalographic (EEG) recording systems. Specifically, single sample t-tests of component existence (all p's. Our results demonstrate that we could observe and quantify the N200 and P300 ERP components in the visual oddball task and the reward positivity (the mirror opposite component to the feedback-related negativity) in the reward-learning task. Specifically, we report the results of two experiments using data collected with the MUSE EEG system-one using the well-known visual oddball paradigm and the other using a standard reward-learning task.
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