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Gist False Memory

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Seminar✓ Recording AvailableNeuroscience

The Gist of False Memory

Shaul Hochstein

Prof

Hebrew University

Schedule
Tuesday, November 24, 2020

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Tuesday, November 24, 2020

3:00 PM Asia/Tel_Aviv

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Host: BIU Vision Science

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BIU Vision Science

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70.00 minutes

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Abstract

It has long been known that when viewing a set of images, we misjudge individual elements as being closer to the mean than they are (Hollingworth, 1910) and recall seeing the (absent) set mean (Deese, 1959; Roediger & McDermott (1995). Recent studies found that viewing sets of images, simultaneously or sequentially, leads to perception of set statistics (mean, range) with poor memory for individual elements. Ensemble perception was found for sets of simple images (e.g. circles varying in size or brightness; lines of varying orientation), complex objects (e.g. faces of varying emotion), as well as for objects belonging to the same category. When the viewed set does not include its mean or prototype, nevertheless, observers report and act as if they have seen this central image or object – a form of false memory. Physiologically, detailed sensory information at cortical input levels is processed hierarchically to form an integrated scene gist at higher levels. However, we are aware of the gist before the details. We propose that images and objects belonging to a set or category are represented as their gist, mean or prototype, plus individual differences from that gist. Under constrained viewing conditions, only the gist is perceived and remembered. This theory also provides a basis for compressed neural representation. Extending this theory to scenes and episodes supplies a generalized basis for false memories. They seem right, match generalized expectations, so are believable without challenging examination. This theory could be tested by analyzing the typicality of false memories, compared to rejected alternatives.

Topics

cortical processingensemble perceptionfalse memorygistintegrated scene gistmeanmemoryneural representationprototypesensory informationset statisticstop-down processingvision

About the Speaker

Shaul Hochstein

Prof

Hebrew University

Contact & Resources

Personal Website

www.shaulhochstein.com/home

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