Mafalda Ribeiro

AI-Inspired Closed Loop Electrical Neuromodulation in Multiple Domains

Project Summary

Neural interfaces are a promising field of research both from the perspective of uncovering the mechanisms behind neurological function at a cell cohort level, as well as for implantable devices used in the treatment of conditions such as epilepsy and Alzheimer’s disease. Although some neuromodulation devices exist for clinical purposes, these devices conduct stimulation without feedback from the resultant effect on the nerve. My project therefore aims to explore the development of an ex vivo setup to electrically analyse explanted nerves and cell cultures. More specifically, I will examine the possibility of a closed loop approach where electrical stimulation is varied and informed by neural recordings over time. Given the interdisciplinarity of this project, concepts of ethics, accountability, responsibility, and transparency are crucial, particularly when using AI alongside implantable, neuromodulation devices.


Doctoral Recognition Award Winner 2022

Research Interests

Using AI & bioelectronics for better monitoring and understanding nerves and cellular behaviour, particularly for neuromodulation applications and devices.


I received an MEng in Electrical and Electronic Engineering from the University of Bath, with a final year project focusing on the development of highly sensitive microfluidic lab-on-chip devices. I also had an industrial placement at Intel UK where I conducted digital design and verification of chips for mobile applications.


Dr Benjamin Metcalfe

Dr Christof Lutteroth

Dr Michael Proulx

Dr Paulo Rocha (University of Coimbra, Portugal)