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An Integrated Neuronal Model for Visual Search Tasks

PGR-P-279

Key facts

Type of research degree
PhD
Application deadline
Ongoing deadline
Country eligibility
International (open to all nationalities, including the UK)
Funding
Non-funded
Additional supervisors
Dr Marc de Kamps
Schools
School of Computing
<h2 class="heading hide-accessible">Summary</h2>

Experiments have shown that attention can influence neuronal representations. When human subjects are warned that an object will appear at a certain location in the visual field, it can be shown that the firing rate of neurons in visual cortex that correspond to that location will increase slightly. It is believed that such modulations of the neuronal representations of visual percepts lead to faster reaction times and lower search effort in a complex visual scene. Spatial-based attention is relatively well understood. When subjects are primed for a feature (such as colour) it can be shown that neuronal representations coding for that feature are affected across the visual field. This form of attention and the neuronal mechanisms behind it are less well understood. Yet, another form of attention is object-based attention. Here neurons that contribute to specific visual shapes are primed, regardless of where they are in the visual field. In a system for translation-invariant object recognition, it is hard to understand how this form of attention is implemented. In earlier work, we have modelled each of these forms of attention in isolation. Using the simulator we created to do this, you will create an integrated model that combines all neuronal mechanism into a single integrated network model. You will apply the resulting model to publicly available visual search data and to 'pop-out' phenomena. There is a possibility to contribute to running psychological experiments in this area. The earliest start date for this project will be 1 October 2020.

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &lsquo;An Integrated Neuronal Model for Visual Search Tasks&rsquo; as well as&nbsp;<a href="https://engineering.leeds.ac.uk/staff/390/Dr_Marc_de_Kamps">Dr Marc de Kamps</a>&nbsp;as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p><strong>Self-Funding Students</strong></p> <p><strong>Funding Eligibility</strong></p> <p><strong>UK/EU</strong> &ndash;&nbsp;Leeds Doctoral Scholarship Award paying Academic Fees and Maintenance matching EPSRC rate of &pound;15,009 per year for 3 years and Alumni Bursary for previous graduates from the University of Leeds offering 10% discount on Academic Fees</p> <p><strong>International Students</strong> &ndash;&nbsp;China Scholarship Council-University of Leeds Scholarship Award paying Academic Fees for 3 years, Commonwealth Scholarship for Low Income Countries and&nbsp;Alumni Bursary for previous graduates from the University of Leeds offering 10% discount on Academic Fees</p>

<h2 class="heading">Contact details</h2>

<p>For further information regarding your application, please contact Doctoral College Admissions by&nbsp;email:&nbsp;<a href="mailto:EMAIL@leeds.ac.uk">p</a><a href="mailto:phd@engineering.leeds.ac.uk">hd@engineering.leeds.ac.uk</a>, or by telephone: +44 (0)113 343 5057.</p> <p>For further information regarding the project, please contact Dr Marc de Kamps by email:&nbsp;&nbsp;<a href="mailto:M.deKamps@leeds.ac.uk">M.deKamps@leeds.ac.uk</a>&nbsp;</p>


<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>