It has been classically conjectured that the brain assigns probabilistic models to sequences of stimuli. An important issue associated with this conjecture is the identification of the classes of models used by the brain to perform this task. We address this issue by using a new clustering procedure for sets of electroencephalographic (EEG) data recorded from participants exposed to a sequence of auditory stimuli generated by a stochastic chain. This clustering procedure indicates that the brain uses renewal points in the stochastic sequence of auditory stimuli in order to build a model.

翻译：经典推测认为，大脑会对刺激序列赋予概率模型。与该推测相关的一个重要问题是识别大脑执行该任务时所使用的模型类别。我们通过一种新的聚类方法来解决该问题，该方法应用于参与者暴露于随机链生成的听觉刺激序列时所记录的脑电图数据集。该聚类方法表明，大脑利用听觉刺激随机序列中的更新点来构建模型。