Intrinsic neural timescales: temporal integration and segregation

Annemarie Wolff, Nareg Berberian, Mehrshad Golesorkhi, Javier Gomez-Pilar, Federico Zilio, Georg Northoff

研究成果: 雜誌貢獻回顧型文獻同行評審

3 引文 斯高帕斯(Scopus)


We are continuously bombarded by external inputs of various timescales from the environment. How does the brain process this multitude of timescales? Recent resting state studies show a hierarchy of intrinsic neural timescales (INT) with a shorter duration in unimodal regions (e.g., visual cortex and auditory cortex) and a longer duration in transmodal regions (e.g., default mode network). This unimodal–transmodal hierarchy is present across acquisition modalities [electroencephalogram (EEG)/magnetoencephalogram (MEG) and fMRI] and can be found in different species and during a variety of different task states. Together, this suggests that the hierarchy of INT is central to the temporal integration (combining successive stimuli) and segregation (separating successive stimuli) of external inputs from the environment, leading to temporal segmentation and prediction in perception and cognition.

期刊Trends in Cognitive Sciences
出版狀態接受/付印 - 2022

ASJC Scopus subject areas

  • 神經心理學與生理心理學
  • 實驗與認知心理學
  • 認知神經科學


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