scholarly journals Erratum to “Adaptation in the fusiform face area (FFA): Image or Person?” [Vision Research 49 (23) (2009) 2800–2807]

2010 ◽  
Vol 50 (15) ◽  
pp. e1-e3 ◽  
Author(s):  
Xiaokun Xu ◽  
Xiaomin Yue ◽  
Mark D. Lescroart ◽  
Irving Biederman ◽  
Jiye G. Kim
2018 ◽  
Vol 129 (8) ◽  
pp. e80-e81
Author(s):  
A. Haeger ◽  
C. Pouzat ◽  
V. Luecken ◽  
K. N’Diaye ◽  
C.E. Elger ◽  
...  

2004 ◽  
Vol 16 (9) ◽  
pp. 1669-1679 ◽  
Author(s):  
Emily D. Grossman ◽  
Randolph Blake ◽  
Chai-Youn Kim

Individuals improve with practice on a variety of perceptual tasks, presumably reflecting plasticity in underlying neural mechanisms. We trained observers to discriminate biological motion from scrambled (nonbiological) motion and examined whether the resulting improvement in perceptual performance was accompanied by changes in activation within the posterior superior temporal sulcus and the fusiform “face area,” brain areas involved in perception of biological events. With daily practice, initially naive observers became more proficient at discriminating biological from scrambled animations embedded in an array of dynamic “noise” dots, with the extent of improvement varying among observers. Learning generalized to animations never seen before, indicating that observers had not simply memorized specific exemplars. In the same observers, neural activity prior to and following training was measured using functional magnetic resonance imaging. Neural activity within the posterior superior temporal sulcus and the fusiform “face area” reflected the participants' learning: BOLD signals were significantly larger after training in response both to animations experienced during training and to novel animations. The degree of learning was positively correlated with the amplitude changes in BOLD signals.


2009 ◽  
Vol 30 (4) ◽  
pp. 721-733 ◽  
Author(s):  
Gillian Rhodes ◽  
Patricia T. Michie ◽  
Matthew E. Hughes ◽  
Graham Byatt

2010 ◽  
Vol 104 (1) ◽  
pp. 336-345 ◽  
Author(s):  
Alison Harris ◽  
Geoffrey Karl Aguirre

Although the right fusiform face area (FFA) is often linked to holistic processing, new data suggest this region also encodes part-based face representations. We examined this question by assessing the metric of neural similarity for faces using a continuous carryover functional MRI (fMRI) design. Using faces varying along dimensions of eye and mouth identity, we tested whether these axes are coded independently by separate part-tuned neural populations or conjointly by a single population of holistically tuned neurons. Consistent with prior results, we found a subadditive adaptation response in the right FFA, as predicted for holistic processing. However, when holistic processing was disrupted by misaligning the halves of the face, the right FFA continued to show significant adaptation, but in an additive pattern indicative of part-based neural tuning. Thus this region seems to contain neural populations capable of representing both individual parts and their integration into a face gestalt. A third experiment, which varied the asymmetry of changes in the eye and mouth identity dimensions, also showed part-based tuning from the right FFA. In contrast to the right FFA, the left FFA consistently showed a part-based pattern of neural tuning across all experiments. Together, these data support the existence of both part-based and holistic neural tuning within the right FFA, further suggesting that such tuning is surprisingly flexible and dynamic.


2017 ◽  
Vol 8 (4) ◽  
pp. 43-54
Author(s):  
E.A. Varshaver

This article contains a review of research in the realm of neurophysiology of ethnicity. According to this body of research, there are zones of the brain which get active in response to demonstration of ethnic stimuli. Among these zones are amygdala, anterior cingulate cortex, fusiform face area and others. The article describes the research focused on each of these zones, discusses their weaknesses and projects further research on the crossroads of neurophysiology, cognitive science, psychology and sociology.


Neurology ◽  
2019 ◽  
Vol 92 (4) ◽  
pp. 197-198 ◽  
Author(s):  
Vadim Axelrod ◽  
Camille Rozier ◽  
Tal Seidel Malkinson ◽  
Katia Lehongre ◽  
Claude Adam ◽  
...  
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