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Using Perceptual Learning to Understand and Influence Face Recognition, 2018-2021
Creator
Civile, C, University of Exeter
Study number / PID
855016 (UKDA)
10.5255/UKDA-SN-855016 (DOI)
Data access
Open
Series
Not available
Abstract
Data corresponding to publications from the ESRC new investigator grant project. The project focuses on the development of perceptual learning as a key factor to our ability to recognise faces. Further, by using a range of neuroscience techniques in conjunction with the behavioural designs, I have investigated methods to improve this perceptual skill and define specific brain structures responsible for the control and development of this phenomenon.Perceptual learning is a fundamental cognitive skill. It can be defined as an enhancement in the ability to distinguish between similar stimuli (that otherwise would be very hard to tell apart) as a consequence of experience with them, or with stimuli similar to the target stimuli. The proposed project focuses on the development of this phenomenon as a key factor to our ability to recognise faces. Further, by using a range of neuroscience techniques (EEG/ERP, tDCS, fMRI, TMS) in conjunction with the behavioural designs I have developed, I will investigate methods to improve this perceptual skill and define specific brain structures responsible for the control and development of this phenomenon. So, basically, I aim to find out how we improve at telling things apart (discrimination) and to discover ways of enhancing this ability.
I will start by developing the case for perceptual learning as a key contributor to one of the most robust cognitive phenomenon in face recognition i.e. the composite face effect. This refers to individuals' decreased ability to recognise the top half of one face presented in composite with the bottom half of another face when the composite is upright and aligned than when the two halves are offset laterally (misalignment). By using novel categories of prototype-defined chequerboards which participants will be pre-exposed to during the study procedure, I would expect to show a similar composite effect for familiar chequerboards to that usually found with faces. This will be our index of...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/06/2018 - 01/04/2021
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The data here collected are the behavioural data reported in the papers published in the studies part of the grant. Each folder is named after the citation for the paper. Most of the studies had tDCS applied while participants (university students) performed a face/object recognition task. Hence, the data collected is accuracy (and in some cases Its) performance in the tasks performed. The folder named "Civile, Chamizo et al 2020" includes the data from two animal behaviour studies conducted with rats on a Morris pool navigation task. The data contained in the folder is the time spent (in seconds) by the rats navigating in the pool.
Funding information
Grant number
ES/R005532/1
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.