The brain and its time: intrinsic neural timescales are key for input processing

Mehrshad Golesorkhi, Javier Gomez-Pilar, Federico Zilio, Nareg Berberian, Annemarie Wolff, Mustapha C.E. Yagoub, Georg Northoff

研究成果: 雜誌貢獻回顧型文獻同行評審

37 引文 斯高帕斯(Scopus)


We process and integrate multiple timescales into one meaningful whole. Recent evidence suggests that the brain displays a complex multiscale temporal organization. Different regions exhibit different timescales as described by the concept of intrinsic neural timescales (INT); however, their function and neural mechanisms remains unclear. We review recent literature on INT and propose that they are key for input processing. Specifically, they are shared across different species, i.e., input sharing. This suggests a role of INT in encoding inputs through matching the inputs’ stochastics with the ongoing temporal statistics of the brain’s neural activity, i.e., input encoding. Following simulation and empirical data, we point out input integration versus segregation and input sampling as key temporal mechanisms of input processing. This deeply grounds the brain within its environmental and evolutionary context. It carries major implications in understanding mental features and psychiatric disorders, as well as going beyond the brain in integrating timescales into artificial intelligence.

期刊Communications Biology
出版狀態已發佈 - 12月 2021

ASJC Scopus subject areas

  • 醫藥(雜項)
  • 生物化學、遺傳與分子生物學 (全部)
  • 農業與生物科學 (全部)


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