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Examining the neural basis of autobiographical memory (BonniciHU19PSY)

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  • Full or part time
    Dr H Bonnici
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Autobiographical memories are the building blocks that create the story of somebody’s life and help them to maintain relationships and responsibilities, as well as enabling learning from past experiences and planning about the future. Understanding how the different elements of an autobiographical memory are integrated during recollection to generate a vivid and detailed memory and how this differs from other forms of memory, is a crucial concern in memory neuroscience. The aim of this PhD project is to explore these neural processes and to examine their impact on the quality of autobiographical memory recollection, through a combination of functional neuroimaging techniques (such as EEG), and non-invasive brain stimulation (TMS and tDCS) approaches.

Project Start Date: Oct 2019
Mode of Study: Either full-time or part-time
Acceptable First Degree: Psychology or closely related field
Minimum Entry Requirements: UK 2:1; 60% in Masters in psychological research methods, or equivalent experience, required.

Funding Notes

This PhD project is in a School of Psychology competition for funded studentships. These studentships are funded for 3 years and comprise of home/EU tuition fees and an annual stipend of £14,777. Overseas applicants may apply but they are required to fund the difference between home/EU and overseas tuition fees (which for 2018-19 are detailed on the University’s fees pages at https://portal.uea.ac.uk/planningoffice/tuition-fees . Please note tuition fees are subject to an annual increase).

Related Subjects

How good is research at University of East Anglia in Psychology, Psychiatry and Neuroscience?

FTE Category A staff submitted: 13.60

Research output data provided by the Research Excellence Framework (REF)

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