The University of Exeter is recruiting a PhD student to work on an exciting project to investigate theoretically how neural networks can dynamically transition between multiple behaviours. This BBSRC-funded project is open to students from Mathematics, Physics, Natural Sciences, and Computer Science. The successful candidate will develop new neural network models of rhythmic activity in the tadpole spinal cord. They will use these models to analyse how network behaviour adapts to different sensory inputs. Data for model development will be provided by world-class electrophysiologists, who will also test predictions made by the model. This project will uncover cellular-level and network-level mechanisms that enable dynamic circuit reconfiguration in response to a changing environment. 

For more information on the project and instructions for applying, please visit http://www.exeter.ac.uk/studying/funding/award/?id=3975. 

Please contact the project investigators with any question: 

Joël Tabak                j.tabak@exeter.ac.uk 

Roman Borisyuk      r.m.borisyuk@exeter.ac.uk 




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