Summary information

Study title

Using Perceptual Learning to Understand and Influence Face Recognition, 2018-2021

Creator

Civile, C, University of Exeter

Study number / PID

856741 (UKDA)

10.5255/UKDA-SN-856741 (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...
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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

2023

Terms of data access

The Data Collection is available to any user without the requirement for registration for download/access.

Related publications

Not available