Neuron
Volume 95, Issue 3, 2 August 2017, Pages 709-721.e5
Journal home page for Neuron

Article
Discovering Event Structure in Continuous Narrative Perception and Memory

https://doi.org/10.1016/j.neuron.2017.06.041Get rights and content
Under an Elsevier user license
open archive

Highlights

  • Event boundaries during perception can be identified from cortical activity patterns

  • Event timescales vary from seconds to minutes across the cortical hierarchy

  • Hippocampal activity following an event predicts reactivation during recall

  • Prior knowledge of a narrative enables anticipatory reinstatement of event patterns

Summary

During realistic, continuous perception, humans automatically segment experiences into discrete events. Using a novel model of cortical event dynamics, we investigate how cortical structures generate event representations during narrative perception and how these events are stored to and retrieved from memory. Our data-driven approach allows us to detect event boundaries as shifts between stable patterns of brain activity without relying on stimulus annotations and reveals a nested hierarchy from short events in sensory regions to long events in high-order areas (including angular gyrus and posterior medial cortex), which represent abstract, multimodal situation models. High-order event boundaries are coupled to increases in hippocampal activity, which predict pattern reinstatement during later free recall. These areas also show evidence of anticipatory reinstatement as subjects listen to a familiar narrative. Based on these results, we propose that brain activity is naturally structured into nested events, which form the basis of long-term memory representations.

Keywords

event segmentation
fMRI
perception
memory
hippocampus
Hidden Markov Model
recall
narrative
situation model
event model
reinstatement

Cited by (0)

3

Lead Contact