One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses identifying a synchronization pattern trend within the EEG data of the set of users and correlating the synchronization pattern trend with neurological development within the set of users.
