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Controlling the emergent dynamical phenomena in neural circuits engineered in vitro


Project Description

This project will be dedicated to mathematical modelling of the collective dynamics in complex living neural networks engineered in vitro. The work will be carried out in close collaboration with colleagues from the Department of Chemistry and across the Research Centre “From Laboratory to Fabrication” (Lab2Fab).

Within this project, electrical activity data collected from engineered, living neural circuits on a chip will be used to characterise the individual cells and the connectivity within the network. The aims of the project are as follows: (i) to design the neural circuits with the desired performance, such as achieving more or less synchronised dynamics, and (ii) to develop effective approaches to control the collective phenomena emerging as a result of interaction between the elements of such systems.

Papers describing the control method in general:

https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.93.010601
https://www.sciencedirect.com/science/article/pii/S0167278904002192

Papers describing how this method works in application to neural models:

https://www.researchgate.net/publication/6524709_Noise-induced_cooperative_dynamics_and_its_control_in_coupled_neuron_models
https://www.researchgate.net/publication/265779036_Delayed_feedback_control_in_stochastic_excitable_networks

How to apply


All applications are made online, please select the school/department name under the programme name section and include the quote reference number.

https://www.lboro.ac.uk/study/postgraduate/apply/research-applications/

Entry Requirements

A relevant Master's degree and / or experience in one or more of the following will be an advantage: Physics, Mathematical Sciences.

Funding Notes

This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for funding opportunities which may become available in the School.

UK/EU Fee band: Research Band 1 Classroom Based (£4,327)
International Fee band: Research Band 1 Classroom Based (£16,900)

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