Sequence chunking through neural encoding of ordinal positions DOI Creative Commons
Nai Ding

Trends in Cognitive Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Grouping sensory events into chunks is an efficient strategy to integrate information across long sequences such as speech, music, and complex movements. Although can be constructed based on diverse cues (e.g., features, statistical patterns, internal knowledge) recent studies have consistently demonstrated that the by different are all tracked low-frequency neural dynamics. Here, I review evidence chunking drive activity in modality-dependent networks, which interact generate chunk-tracking broad brain areas. Functionally, this work suggests a core computation underlying sequence may assign each event its ordinal position within chunk causally implemented during predictive chunking.

Language: Английский

Sequence chunking through neural encoding of ordinal positions DOI Creative Commons
Nai Ding

Trends in Cognitive Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Grouping sensory events into chunks is an efficient strategy to integrate information across long sequences such as speech, music, and complex movements. Although can be constructed based on diverse cues (e.g., features, statistical patterns, internal knowledge) recent studies have consistently demonstrated that the by different are all tracked low-frequency neural dynamics. Here, I review evidence chunking drive activity in modality-dependent networks, which interact generate chunk-tracking broad brain areas. Functionally, this work suggests a core computation underlying sequence may assign each event its ordinal position within chunk causally implemented during predictive chunking.

Language: Английский

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