Structure-function relation in growing neural networks

Project description

Our nervous systems are not static. Neurons and neural connections grow and prune themselves over development and in the adult, and neural circuits rewire constantly to allow us to adapt and learn. The robust self-organisation of nervous system and their ability to produce stable functioning circuits raises many fascinating questions about the interplay between neural dynamics and circuit level changes.

This project aims to study the self-organisation of cortical neural circuits, through a computational modelling approach. In particular you will examine the interplay between neuronal and circuit level activity, and learning rules that allow for neural and circuit level changes. This work will build on our previous model of the self-organised properties of so-called synfire chains in songbirds (see Waddington 2011).

Entry requirements

We would normally expect applicants for postgraduate research to have achieved one of the following in a subject relevant to the proposed research:
• a minimum of a UK upper second class honours degree (2.1), or equivalent, or
• a good performance in a Masters level course.
We also recognise relevant industrial and academic experience and special circumstances in the consideration of applicants.

How to apply

Formal applications for research degree study should be made online through the university's website.

If you require any further information please contact the Graduate School Office
e:, t: +44 (0)113 343 8000.