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How Does the Mind Render Streaming Experience as Events?

Dare A Baldwin1, Jessica E Kosie1

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This summary is machine-generated.

Our experiences are constructed, not direct recordings. Event perception relies on statistical learning to detect predictability changes in sensory flow, optimizing attention for efficient information processing.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computational Linguistics

Background:

  • Human experience is constructed, not a direct sensory recording.
  • Dynamic sensory input is transformed into structured, memorable events via psychological processes.
  • Understanding event representation and its development is crucial for cognitive science.

Purpose of the Study:

  • To review emerging answers on how dynamic sensory streams are rendered into event representations.
  • To explore how these processes handle novelty and variability in sensory experience.
  • To investigate the acquisition and developmental changes in event-rendering skills.

Main Methods:

  • Review of existing literature on statistical learning and event perception.
  • Analysis of information-optimization models for attentional resource allocation.
  • Examination of developmental trajectories in event-processing fluency.

Main Results:

  • Implicit statistical learning to monitor predictability structure is key to event rendering.
  • Bounded events arise from detecting "troughs" in sensory predictability.
  • Predictable troughs in predictability act as articulation points for event demarcation.

Conclusions:

  • Event processing fluency depends on cognitive reorganization and adaptive attention deployment.
  • As predictability knowledge grows, attention is redeployed, altering event experiences.
  • This framework applies to event processing across various domains like action and language.