[FieldTrip] PhD studentship available in cortical networks of aging at CCNi Glasgow

[jan-mathijs schoffelen]

Dear all,

Please see below a PhD-position available at Glasgow university.

Cheers,

JM



A 4-year PhD studentship is available to work with Philippe Schyns & Guillaume Rousselet in the Institute of Neuroscience and Psychology.

Understanding age-related changes in the processing of emotion information
Deadline: Friday 27th January 2012
Stipend: £13,848 per annum

The start date is October 2012 and applicants will normally be expected to reside (or have residency) within the UK or EU. The financial package will include a four year stipend, approved University fees, Research Training Support Grant and a Conference Allowance. 

Information about the training and how to apply is available here:

http://www.gla.ac.uk/colleges/mvls/graduateschool/informationforprospectivestudents/phdandmresscholarships/phdprogrammes/

Contact us directly for inquiries about the project:

Philippe Schyns <philippe.schyns at glasgow.ac.uk>
Guillaume Rousselet <Guillaume.Rousselet at psy.gla.ac.uk>

Abstract:

It is estimated that, by 2060, one quarter of the British population will be over 65, many of whom will still be working. Over a lifetime, the brain ages as dramatically as the body, manifesting itself in the decline of the basic and essential task of interpreting social signals. Research has established that ageing adults show specific differences in the emotional interpretation of facial expressions, particularly anger. These perceptual differences could have drastic impacts on everyday social interactions and decision-making. Failure to accurately interpret social signals may lead to vulnerabilities in critical social interactions such as identifying deception and predicting the behavioural intentions of others. With the development of new methods in computational neuroscience, it has become possible to further understand why the ageing brain fails in what are deceptively simple information processing tasks—i.e. interpreting the emotions of others. We will study how oscillatory networks in the ageing brain extract and further process visual information to recognize facial expressions of emotion at different intensities. Our framework will combine a unique platform that precisely controls the photo-realistic biological motion of faces with other developments in applications of information theoretic mathematics to analyses of brain signals.


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