Sequential temporal anticipation characterized by neural power modulation and in recurrent neural networks.

ABSTRACT: Relevant prospective moments arise intermittently, while most of the time is filled with irrelevant events, or noise, that constantly bombard our sensory systems. Thus, anticipating a few key moments necessitates disregarding what lies between the present and the future - the noise. Here, through examining how the brain and recurrent neural networks (RNNs) anticipate a sequence of prospective moments without relying on any external timing cues, we provided a reinterpretation of temporal anticipation. We first designed a 'premembering' task, where we marked three temporal locations in white noise and asked human listeners to detect a tone at one of these points. Using power modulation analyses, we investigated the memory-guided anticipatory processes in trials involving only flat noise. Our

SUBMITTER: Teng X 

PROVIDER: S-EPMC12543324 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature