Intrinsic neural timescales: temporal integration and segregation

Trends Cogn Sci. 2022 Feb;26(2):159-173. doi: 10.1016/j.tics.2021.11.007. Epub 2022 Jan 3.

Abstract

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.

Keywords: intrinsic neural timescales; predictive coding; rest and task states; temporal receptive windows; temporal segregation; transmodal–unimodal hierarchy.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Brain / diagnostic imaging
  • Brain Mapping*
  • Cognition
  • Humans
  • Magnetic Resonance Imaging
  • Visual Cortex*