Discovering Event Structure in Continuous Narrative Perception and Memory
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 f...
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| Published in | Neuron (Cambridge, Mass.) Vol. 95; no. 3; pp. 709 - 721.e5 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
02.08.2017
Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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.
•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
Using a new approach for identifying temporal structure in neuroimaging data, Baldassano et al. propose a theory of how continuous experience is divided into events that are represented in high-level cortex, are stored in long-term memory, and influence later perception. |
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| AbstractList | 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.
•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
Using a new approach for identifying temporal structure in neuroimaging data, Baldassano et al. propose a theory of how continuous experience is divided into events that are represented in high-level cortex, are stored in long-term memory, and influence later perception. 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. 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. 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.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. |
| Author | Chen, Janice Baldassano, Christopher Norman, Kenneth A. Zadbood, Asieh Pillow, Jonathan W. Hasson, Uri |
| AuthorAffiliation | 1 Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, 08544, USA 2 Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA |
| AuthorAffiliation_xml | – name: 1 Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, 08544, USA – name: 2 Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA |
| Author_xml | – sequence: 1 givenname: Christopher surname: Baldassano fullname: Baldassano, Christopher email: chrisb@princeton.edu organization: Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA – sequence: 2 givenname: Janice surname: Chen fullname: Chen, Janice organization: Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA – sequence: 3 givenname: Asieh surname: Zadbood fullname: Zadbood, Asieh organization: Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA – sequence: 4 givenname: Jonathan W. surname: Pillow fullname: Pillow, Jonathan W. organization: Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA – sequence: 5 givenname: Uri surname: Hasson fullname: Hasson, Uri organization: Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA – sequence: 6 givenname: Kenneth A. surname: Norman fullname: Norman, Kenneth A. organization: Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28772125$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Adolescent Adult Boundaries Brain Brain Mapping event model event segmentation Female fMRI Hidden Markov Model Hippocampus Hippocampus - physiology Humans Image Processing, Computer-Assisted - methods Listening comprehension Long term memory Magnetic Resonance Imaging - methods Male Memory Memory - physiology Mental Recall - physiology narrative Perception Perceptions recall Reinstatement situation model Somatosensory cortex Topography Visual Perception - physiology Young Adult |
| Title | Discovering Event Structure in Continuous Narrative Perception and Memory |
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