Test Your Knowledge on Brain Stimulation and Face Recognition Processes

What is the specificity account of face recognition and how does it differ from the expertise account?

How does fMRI detect brain activity?

What is the Face Fusiform Area (FFA)?

What does EEG measure?

What does the N170 component show and how does it differ for faces compared to other stimuli?

What is tDCS and how is it applied in this study?

What is the main objective of the study referenced in the text?

What is the age and handedness requirement for participants in the study?

What is the compensation for participating in the study and how long does it take?

The specificity account suggests that faces are recognized differently than other stimuli.
The expertise account suggests that familiarity with a stimulus configuration leads to robust inversion effects.
fMRI detects brain activity by changes in oxygen levels in the blood.
The Face Fusiform Area (FFA) is a cortical region that is more activated when presented with faces.
EEG measures electrical activity generated by synchronized activity of neurons.
ERPs are small voltages generated in response to specific stimuli.
The N170 component shows a larger inversion effect for faces compared to other stimuli.
tDCS is a brain stimulation technique that can reduce the inversion effect for faces.
tDCS can be applied during a face matching task to study prosopagnosia.
The expertise account suggests that familiarity with a stimulus configuration leads to robust inversion effects for all stimuli.

The study investigates the processes involved in face recognition using tDCS.
Participants must be 18 or older, right-handed, and generally healthy.
The tDCS technique involves the application of a weak current via two electrodes on the head.
The stimulation feels slightly warm and tingly.
The study takes about 45 minutes and participants receive £7 or 1 credit.
The tDCS procedure eliminates the checkerboard inversion effect index of expertise.
It reduces significantly the face inversion effect indicating that a component of it is based on expertise.
The remaining face inversion effect could be due to specificity.
The study references several previous studies on perceptual learning and face recognition.
The main reference is Civile et al. (2021) published in Scientific Reports.

"Mastering the Science of Face Recognition: Test Your Knowledge!" This quiz will challenge your understanding of key concepts and techniques involved in studying face recognition, such as the specificity and expertise accounts, fMRI, EEG, ERPs, and tDCS. You'll learn about the Face Fusiform Area (FFA) and the N170 component, and how they relate to face processing. Test your knowledge on the latest research on tDCS and its impact on the checkerboard inversion effect index of