Event perception: A mind-brain perspective.

Zacks, Jeffrey M.; Speer, Nicole K.; Swallow, Khena M.; Braver, Todd S.; Reynolds, Jeremy R.

doi:10.1037/0033-2909.133.2.273

Cited by 874 publications

(1,169 citation statements)

References 137 publications

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“…According to the predictive coding account of action observation, action perception triggers an "internal model" (Kilner, Friston, & Frith, 2007;Neal & Kilner, 2010) that is run in real time and consists of predictions on the course of action (Schutz-Bosbach & Prinz, 2007). Evidently, such predictions save resources (Zacks, Speer, Swallow, Braver, & Reynolds, 2007).…”

Section: Introductionmentioning

confidence: 99%

Neural changes when actions change: Adaptation of strong and weak expectations

Schiffer

Ahlheim

Ulrichs

et al. 2012

Human Brain Mapping

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Repeated experiences with an event create the expectation that subsequent events will expose an analog structure. These spontaneous expectations rely on an internal model of the event that results from learning. But what happens when events change? Do experience-based internal models get adapted instantaneously, or is model adaptation a function of the solidity of, i.e. familiarity with, the corresponding internal model? The present fMRI study investigated the effects of model solidity on model adaptation in an action observation paradigm. Subjects were made acquainted with a set of action movies that displayed an altered script when encountered again in the scanning session. We found model adaptation to result in an attenuation of the premotor-parietal network for action observation. Model solidity was found to modulate activation in the parahippocampal gyrus and the anterior cerebellar lobules, where increased solidity correlated with activity increase. Finally, the comparison between early and late stages of learning indicated an effect of model solidity on adaptation rate. This contrast revealed the involvement of a fronto-mesial network of Brodmann area 10 and the ACC in those states of learning that were signified by high model solidity, no matter if the memorized original or to the altered action model was the more solid component. Findings suggest that the revision of an internal model is dependent on its familiarity. Unwarranted adaptations, but also perseverations may thus be prevented.

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Section: Introductionmentioning

confidence: 99%

Neural changes when actions change: Adaptation of strong and weak expectations

Schiffer

Ahlheim

Ulrichs

et al. 2012

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…Event segmentation occurs passively, without conscious awareness (Speer, Zacks, & Reynolds, 2007). Events can be segmented at either a coarse-grained or fine-grained level (Hanson & Hirst, 1989;Kurby & Zacks, 2007;Newston, 1973, Newston & Engquist, 1976Zacks, Tversky, & Iyer, 2001).…”

Section: Theoretical Perspectives On Story Structuresmentioning

confidence: 99%

The effects of scrambling episode components on memory for a picture story: Not understanding, but recognizing what you saw

Larson¹

2010

PsycEXTRA Dataset

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How are episodes of picture stories remembered, and what role does the order of their components (exposition, complication, and resolution) play in that memory? We presented picture sequence episodes of the "Red Balloon" with the order of their components either normal or scrambled. As predicted by story grammar theories, scrambling episode components reduced self-rated comprehension and recall. However, scrambling also produced faster recognition memory responses for hits. This suggests that episode component scrambling interfered with the transformation of perceptual to conceptual information in LTM, producing an advantage for familiarity over recollection. Additionally, recall memory decreased monotonically from exposition to resolution, whereas recognition memory showed the opposite result, and this was the same whether components were normally ordered or scrambled. This suggests that memory for picture story episode components is based on their information content rather than their temporal order, and that information from picture stories moves from perceptual to conceptual memory representations.iv

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“…Recently Nery and Ventura [1] presented embodied and embedded agents using a dynamical systems and a biologically inspired approach. They adopted the Event Segmentaion Theory (EST) which provides a model of how the human brain segments perception into a sequence of events [2,3]. The problem, however, is how the agent make predictions about perceptions.…”

Section: Introductionmentioning

confidence: 99%

A review of event perception: The first step for convergence on robotics

YoungLim¹

2015

Journal of Digital Convergence

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People observe lots of events around the environment and we can easily recognize the nature of an event from the resulting optic flow. The questions are how do people recognize events and what is the information in the optic flow that enables observers to recognize events. Motor theorists claim that human observers exhibit special sensitivity when perceiving events like speech or biological motion, because we both produce and perceive those events. However, direct perception theorists suggested that speech or biological motion is not special from the perception of all other kinds of event. The purpose of this review article is to address this controversy to critique the motor theory and to describe a direct realist approach to event perception. It is important to understand the fundamental information of how human perceive event perception for the convergence on robotics.

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Event perception: A mind-brain perspective.

Cited by 874 publications

References 137 publications

Neural changes when actions change: Adaptation of strong and weak expectations

Neural changes when actions change: Adaptation of strong and weak expectations

The effects of scrambling episode components on memory for a picture story: Not understanding, but recognizing what you saw

A review of event perception: The first step for convergence on robotics

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