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Journal ArticleDOI

Activity in the right fusiform face area predicts the behavioural advantage for the perception of familiar faces.

Katja Weibert, +1 more
- 01 Aug 2015 - 
- Vol. 75, pp 588-596
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TLDR
A significant correlation in the right fusiform face area (rFFA) is found between the difference in response to familiar and unfamiliar faces and corresponding differences on the face-matching task and a link between activity in the rFFA and the perception of familiar faces is provided.
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This article is published in Neuropsychologia.The article was published on 2015-08-01. It has received 38 citations till now. The article focuses on the topics: Fusiform face area.

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Citations
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Journal ArticleDOI

The Functional Neuroanatomy of Human Face Perception

TL;DR: This review describes recent neuroimaging findings regarding the macro- and microscopic anatomical features of the ventral face network, the characteristics of white matter connections, and basic computations performed by population receptive fields within face-selective regions composing this network.
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Understanding the mechanisms of familiar voice-identity recognition in the human brain.

TL;DR: A revised audio-visual integrative model of voice-identity processing is provided which brings together traditional and prototype models of identity processing and provides a novel framework for understanding and examining the potential differences in familiar and unfamiliar voice processing in the human brain.
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Cognitive control, attention, and the other race effect in memory.

TL;DR: The results suggest that group-based face memory biases at least partially stem from differential allocation of cognitive control and top-down attention during encoding, such that same-race memory benefits from elevated top- down attentional engagement with face processing regions; conversely, reduced recruitment of Cognitive control circuitry appears more predictive of memory failure when encoding out-group faces.
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Beyond the FFA: Brain-behavior correspondences in face recognition abilities.

TL;DR: Findings suggest that superior behavior is served by engaging sufficiently large, distributed patches of neural real estate, which might reflect the integration of independent populations of neurons that enables the formation of richer representations.
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Distinct neural processes for the perception of familiar versus unfamiliar faces along the visual hierarchy revealed by EEG.

TL;DR: Electroencephalogram and flicker SSVEP and searchlight decoding methods are used to elucidate the mechanisms mediating the processing of familiar and unfamiliar faces in the time domain and reveal that fundamentally different stages of the visual hierarchy are modulated by face familiarity.
References
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Journal ArticleDOI

The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception

TL;DR: The data allow us to reject alternative accounts of the function of the fusiform face area (area “FF”) that appeal to visual attention, subordinate-level classification, or general processing of any animate or human forms, demonstrating that this region is selectively involved in the perception of faces.
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The distributed human neural system for face perception.

TL;DR: A model for the organization of this system that emphasizes a distinction between the representation of invariant and changeable aspects of faces is proposed and is hierarchical insofar as it is divided into a core system and an extended system.
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Understanding face recognition

TL;DR: A functional model is proposed in which structural encoding processes provide descriptions suitable for the analysis of facial speech, for analysis of expression and for face recognition units, and it is proposed that the cognitive system plays an active role in deciding whether or not the initial match is sufficiently close to indicate true recognition.
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The reward circuit: linking primate anatomy and human imaging.

TL;DR: It is shown that human functional and structural imaging results map increasingly close to primate anatomy, and advances in neuroimaging techniques allow better spatial and temporal resolution.
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