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The mosaic of experience: How individual differences in attention and working memory shape event segmentation
1Sabancı University, Istanbul, Turkey. berna.guler@sabanciuniv.edu.
Cognitive Research: Principles and Implications
|April 15, 2026
Summary
Working memory (WM) and attentional control shape how we segment continuous memories into discrete events. This review integrates findings from aging and cognitive disorders to propose a mechanism-centered framework for event segmentation.
Area of Science:
- Cognitive neuroscience
- Neuropsychology
- Memory research
Background:
- Episodic memories are perceived as continuous but are segmented into discrete events.
- Working memory (WM) and attentional control are crucial for this event segmentation process.
- The precise causal roles of WM and attentional control remain unclear.
Purpose of the Study:
- To synthesize behavioral, cognitive, and neural findings on event segmentation.
- To investigate the influence of healthy aging and specific cognitive profiles (ADHD, dyslexia, OCD) on event segmentation.
- To propose a mechanism-centered framework for understanding event segmentation.
Main Methods:
- Literature review synthesizing data from healthy aging and clinical populations (ADHD, dyslexia, OCD).
- Analysis of behavioral, cognitive, and neural evidence related to working memory and attentional control.
- Theoretical integration to develop a framework for event segmentation.
Main Results:
- Aging may preserve segmentation with strong semantic structure but falter under interference or high cognitive load.
- Attention-deficit/hyperactivity disorder (ADHD) may lead to coarser segmentation due to attentional lapses.
- Dyslexia may impair fine-grained segmentation of verbal events due to temporal processing limitations.
- Obsessive-compulsive disorder (OCD) might involve idiosyncratic segmentation influenced by threat-relevant schemas.
Conclusions:
- Event segmentation emerges from the interplay of WM constraints, attentional control dynamics, and schema/contextual modulation.
- This mechanism-centered framework refines existing prediction-error models of memory.
- The proposed framework offers testable hypotheses for future research on memory segmentation.
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