心理学
神经科学
认知心理学
认知
刺激(心理学)
意识的神经相关物
多传感器集成
认知科学
感知
计算机科学
人工智能
人工神经网络
作者
Annemarie Wolff,Nareg Berberian,Mehrshad Golesorkhi,Javier Gomez-Pilar,Federico Zilio,Georg Northoff
标识
DOI:10.1016/j.tics.2021.11.007
摘要
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.
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