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An Integrated Neuronal Model for Visual Search Tasks

PGR-P-279

Key facts

Type of research degree
PhD
Application deadline
Monday 31 May 2027
Project start date
Friday 1 October 2027
Country eligibility
International (open to all nationalities, including the UK)
Funding
Non-funded
Supervisors
Dr Marc de Kamps
Schools
School of Computer Science
<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.<br /> <br /> 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.

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

<p>To apply for this project you will need to make a formal application for research degree study through the <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University website</a>. You will need to create a login ID with a username and PIN. </p> <p>•    For <strong>Application type</strong> please select <strong>Research Degrees – Research Postgraduate</strong>. <br /> •    The admission year for this project is <strong>2027/28</strong> Academic Year. <br /> •    You will need to select your <strong>Planned Course of Study</strong> from a drop-down menu. For this project, scroll down and select <strong>PHP Computer Science Full Time.</strong> <br /> •    The project start date for this project is <strong>1 October 2027</strong>, please use this as your <strong>Proposed Start Date of Research</strong>. <br /> •    Please state clearly in the<strong> Research Information Section</strong> that the research degree you wish to be considered for is <strong>An Integrated Neuronal Model for Visual Search Tasks</strong> as well as <a href="https://engineering.leeds.ac.uk/staff/390/Dr_Marc_de_Kamps">Dr Marc de Kamps</a> as your proposed supervisor.</p> <p><strong>Please state clearly in the Finance section</strong>, <strong>the funding that you are applying for, if you are self-funding or externally sponsored</strong>.</p> <p>More information on how to apply is available on our website <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">here</a>. You will be required to provide a personal statement which outlines your interest in the project you are applying for, why you have chosen it and how your skills map onto the requirements of the project.</p> <p>We will assess applications continuously as we receive them. We welcome and strongly encourage any potential applicants to contact the supervisor(s) for an informal discussion, prior to applying, and recommend submitting your application early.</p> <p><strong>If you are applying with external sponsorship or you are funding your own study, please ensure you provide your supporting documents at the point you submit your application:</strong></p> <ul> <li>Full Transcripts of all degree study or if in final year of study, full transcripts to date including the grading scheme</li> <li>Personal Statement outlining your interest in the project</li> <li>CV</li> </ul> <p>If English is not your first language, you must provide evidence that you meet the University's minimum English language requirements (below).</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</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 6.5 overall with at least 6.5 in writing and at 6.0 in reading, 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>This is a non funded PhD project. Applicants are expected to be self funded or to secure external funding.</p> <p>You can find out more about our Funding Opportunities on our <a href="https://phd.leeds.ac.uk/">Postgraduate Research Opportunities</a> website.</p> <p><strong>Important: </strong>Please note that all costs associated with your arrival at Leeds (<a href="https://www.leeds.ac.uk/international-visas-immigration/doc/applying-student-visa">visa, Immigration Health Surcharge</a>, flights etc) would have to be met by yourself, or you will need to find an alternative funding source.</p>

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

<p>For further information about your application, including how to apply, please contact PGR Admissions by email to <a href="mailto:EMAIL@leeds.ac.uk">p</a><a href="mailto:phd@engineering.leeds.ac.uk">hd@engineering.leeds.ac.uk</a></p> <p>For further information about this project, please contact Dr Marc de Kamps by email to <a href="mailto:M.deKamps@leeds.ac.uk">M.deKamps@leeds.ac.uk</a> </p>


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