Faculty of Biology, Medicine and Health

The University of Manchester

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  Electrophysiological correlates of taste predictions

Prof W El-Deredy, Dr D Talmi  No more applications being accepted  Self-Funded PhD Students Only

About the Project

The brain is a prediction machine, using internal models to predict future outcomes, and errors in prediction to optimise internal models (Clark, 2013). To optimise our decision-making in an uncertain world, our brains compute two key computational signals when we learn what to expect from the world around us. The first, called Salience Prediction Errors, are errors in predicting important outcomes regardless of their valence. The second, called Reward Prediction errors, are errors in predicting the valence of outcomes. These errors are expressed as early ERPs (Mason et al. 2012, 2014, 2015; O’Sullivan et al., 2011; Talmi, Atkinson & El-Deredy, 2013). This project will further our understanding of the neural expression of errors in learning. In a series of EEG studies we will utilise a combination of psychological and physiological manipulations to probe the nature of the ERPs corresponding to salience and reward prediction errors.

This 4-year full-time BBSRC DTP studentship provides full support for tuition fees, annual tax-free stipend at Research Council UK rates (currently £14, 057). The project is due to commence September 2016 and is open to UK/EU nationals only due to the nature of the funding.

The successful candidate will receive training in a wide range of research skills including techniques in experimental psychology, statistics, analysis of EEG data using statistical parametric mapping, EEG data collection, EEG analysis using principal component analysis and computational modelling.

Applicants should hold (or be expected to obtain) a minimum upper-second class undergraduate degree in a related area. A relevant Masters degree or equivalent research experience would be an advantage. Any queries regarding the suitability of qualifications should be directed to the primary supervisor.

If you are interested in this project, please make direct contact with the Principal Supervisor to arrange to discuss the project further as soon as possible. You MUST also submit an online application form, full details on how to apply can be found on the BBSRC DTP website: http://www.dtpstudentships.manchester.ac.uk/

Any enquiries relating to the project and/or suitability should be directed to Dr el-Deredy. Applications are invited up to and including 25 November 2015.

Further details on the BBSRC DTP scheme and the full list of PhD project opportunities can be found on our website: http://www.dtpstudentships.manchester.ac.uk/

http://www.psych-sci.manchester.ac.uk/staff/135272

References

Mason, L., Trujillo-Barreto, N. J., Bentall, R. P., & El-Deredy, W. (2015). Attentional bias predicts increased reward salience and risk taking in bipolar disorder. Biological psychiatry.

Mason, L., O’Sullivan, N., Montaldi, D., Bentall, R. P., & El-Deredy, W. (2014). Decision-making and trait impulsivity in bipolar disorder are associated with reduced prefrontal regulation of striatal reward valuation. Brain, awu152.

Talmi, D., Atkinson, R., & El-Deredy, W. (2013). The feedback-related negativity signals salience prediction errors, not reward prediction errors. The Journal of Neuroscience, 33(19), 8264-8269.

Mason, L., O'Sullivan, N., Blackburn, M., Bentall, R., & El-Deredy, W. (2012). I want it now! Neural correlates of hypersensitivity to immediate reward in hypomania. Biological psychiatry, 71(6), 530-537.

O'Sullivan, N., Szczepanowski, R., El-Deredy, W., Mason, L., & Bentall, R. P. (2011). fMRI evidence of a relationship between hypomania and both increased goal-sensitivity and positive outcome-expectancy bias. Neuropsychologia,49(10), 2825-2835.

Where will I study?

Faculty of Biology, Medicine and Health

Tackle real world challenges, make a difference, and elevate your career with postgraduate research in the Faculty of Biology, Medicine and Health at Manchester. From biochemistry to neuroscience, cancer sciences to medicine, audiology to mental health and everything in between, we offer a wide range of postgraduate research projects, programmes and funding which will allow you to immerse yourself in an area of research you’re passionate about.

Why study at the Faculty of Biology, Medicine and Health?

Experience PhD life as part of a diverse postgraduate research community of more than 1,000 postgraduate researchers at the 29th most international university in the world (Times Higher Education, 2023).

Ranked the best place to live in the UK (The Economist Global Liveability Index, 2022), Manchester boasts world-class culture, iconic sports, a thriving music and food scene, and much more. It's not just a place to research, it's a place to call home.

With 93% of research activity at the University rated as 'world-leading' or 'internationally excellent' (Research Excellence Framework, 2021), you'll get the chance to have an impact on global health and science challenges.

1000+

postgraduate students

1

PhD

6th

in the UK - QS (2025)

Manchester  United Kingdom

main campus

About the Faculty of Biology, Medicine and Health

At Manchester, postgraduate researchers are at the heart of our mission to tackle pressing global challenges in biological, medical and healthcare sciences - and you could be too.

By choosing Manchester for your postgraduate research, you’ll be joining a university with an exceptional research reputation, where 93% of research is world-leading or internationally excellent (REF, 2021) and where your work will have real-world impact.

You’ll research in world-class facilities alongside leading experts at the forefront of innovation, collaborating across disciplines to pioneer new treatments, advance scientific knowledge, and improve healthcare globally.

Supported by our dedicated Doctoral Academy and strong industry links, you'll experience PhD life in a vibrant, welcoming and diverse postgraduate research community.

And you’ll leave with the specialist knowledge, research experience and transferable skills that will shape your future in academia, research or industry.





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