13 found
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  1.  81
    Segmentation in the perception and memory of events.Christopher A. Kurby & Jeffrey M. Zacks - 2008 - Trends in Cognitive Sciences 12 (2):72-79.
  2.  13
    Event Representations and Predictive Processing: The Role of the Midline Default Network Core.David Stawarczyk, Matthew A. Bezdek & Jeffrey M. Zacks - 2021 - Topics in Cognitive Science 13 (1):164-186.
    Stawarczyk, Bezdek, and Zacks offer neuroscience evidence for a midline default network core, which appears to coordinate internal, top‐down mentation with externally‐triggered, bottom‐up attention in a push‐pull relationship. The network may enable the flexible pursuance of thoughts tuned into or detached from the current environment.
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  3.  33
    Perceiving, remembering, and communicating structure in events.Jeffrey M. Zacks, Barbara Tversky & Gowri Iyer - 2001 - Journal of Experimental Psychology: General 130 (1):29.
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  4.  4
    Event Cognition.Gabriel A. Radvansky & Jeffrey M. Zacks - 2014 - Oxford University Press USA.
    Much of our behavior is guided by our understanding of events. We perceive events when we observe the world unfolding around us, participate in events when we act on the world, simulate events that we hear or read about, and use our knowledge of events to solve problems. In this book, Gabriel A. Radvansky and Jeffrey M. Zacks provide the first integrated framework for event cognition and attempt to synthesize the available psychological and neuroscience data surrounding it. This synthesis leads (...)
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  5.  17
    Using movement and intentions to understand simple events.Jeffrey M. Zacks - 2004 - Cognitive Science 28 (6):979-1008.
    In order to understand ongoing activity, observers segment it into meaningful temporal parts. Segmentation can be based on bottom‐up processing of distinctive sensory characteristics, such as movement features. Segmentation may also be affected by top‐down effects of knowledge structures, including information about actors' intentions. Three experiments investigated the role of movement features and intentions in perceptual event segmentation, using simple animations. In all conditions, movement features significantly predicted where participants segmented. This relationship was stronger when participants identified larger units than (...)
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  6.  12
    Structured Event Memory: A neuro-symbolic model of event cognition.Nicholas T. Franklin, Kenneth A. Norman, Charan Ranganath, Jeffrey M. Zacks & Samuel J. Gershman - 2020 - Psychological Review 127 (3):327-361.
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  7.  28
    A Computational Model of Event Segmentation From Perceptual Prediction.Jeremy R. Reynolds, Jeffrey M. Zacks & Todd S. Braver - 2007 - Cognitive Science 31 (4):613-643.
    People tend to perceive ongoing continuous activity as series of discrete events. This partitioning of continuous activity may occur, in part, because events correspond to dynamic patterns that have recurred across different contexts. Recurring patterns may lead to reliable sequential dependencies in observers' experiences, which then can be used to guide perception. The current set of simulations investigated whether this statistical structure within events can be used 1) to develop stable internal representations that facilitate perception and 2) to learn when (...)
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  8.  48
    Using movement and intentions to understand human activity.Jeffrey M. Zacks, Shawn Kumar, Richard A. Abrams & Ritesh Mehta - 2009 - Cognition 112 (2):201-216.
  9.  77
    The Impact of Continuity Editing in Narrative Film on Event Segmentation.Joseph P. Magliano & Jeffrey M. Zacks - 2011 - Cognitive Science 35 (8):1489-1517.
    Filmmakers use continuity editing to engender a sense of situational continuity or discontinuity at editing boundaries. The goal of this study was to assess the impact of continuity editing on how people perceive the structure of events in a narrative film and to identify brain networks that are associated with the processing of different types of continuity editing boundaries. Participants viewed a commercially produced film and segmented it into meaningful events, while brain activity was recorded with functional magnetic resonance imaging (...)
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  10.  29
    Event segmentation ability uniquely predicts event memory.Jesse Q. Sargent, Jeffrey M. Zacks, David Z. Hambrick, Rose T. Zacks, Christopher A. Kurby, Heather R. Bailey, Michelle L. Eisenberg & Taylor M. Beck - 2013 - Cognition 129 (2):241-255.
  11.  17
    Structuring information interfaces for procedural learning.Jeffrey M. Zacks & Barbara Tversky - 2003 - Journal of Experimental Psychology: Applied 9 (2):88.
  12.  41
    Scaling up from atomic to complex events.Jeffrey M. Zacks - 2001 - Behavioral and Brain Sciences 24 (5):909-910.
    The Theory of Event Coding deals with brief events but has implications for longer, complex events, particularly goal-directed activities. Two of the theory's central claims are consistent with or assumed by theories of complex events. However, the claim that event codes arise from the rapid activation and integration of features presents challenges for scaling up to larger events.
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  13.  5
    Bayesian Surprise Predicts Human Event Segmentation in Story Listening.Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Uri Hasson & Kenneth A. Norman - 2023 - Cognitive Science 47 (10):e13343.
    Event segmentation theory posits that people segment continuous experience into discrete events and that event boundaries occur when there are large transient increases in prediction error. Here, we set out to test this theory in the context of story listening, by using a deep learning language model (GPT‐2) to compute the predicted probability distribution of the next word, at each point in the story. For three stories, we used the probability distributions generated by GPT‐2 to compute the time series of (...)
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