The brain uses renewal points to model random sequences of stimuli

2023/11/13 by Fernando Araujo Najman, Najman, Fernando A., Antonio Galves +5
Computer Science · Neuroscience · #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Methodology (stat.ME) #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)

paper · pdf · doi:10.48550/arxiv.2311.07793

openalex publication_date 2023/11/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

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.

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