SilVerDBS

Or how I stopped worrying and loved the Marie Curie-Skłodowska Action

SilVerDBS - Practical design of closed-loop DBS algorithms using systematic in SILico VERification

The goal of this project is to propose and systematically analyse novel closed-loop controllers for deep brain stimulation (DBS).

Journal articles

• Evers, J., Orłowski, J., Jahns, H., & Lowery, M. M. (2023). On-Off and Proportional Closed-Loop Adaptive Deep Brain Stimulation Reduces Motor Symptoms in Freely Moving Hemiparkinsonian Rats. In Neuromodulation: Technology at the Neural Interface. Elsevier BV [Publisher] [Repository]

Conference publications

• Orłowski, J., & Lowery, M. M. (2023). Iterative feedback tuning of proportional-integral controller parameters for adaptive deep brain stimulation. In 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER). [Publisher] [Repository]

Other conference appearances

• SfN 2023, Washington, D.C., Identification of controller parameters for closed-loop deep brain stimulation (Poster presentation)
• 12th International Congress of Societas Humboldtiana Polonorum, Łódź, Poland, Turning the dials of adaptive deep brain stimulation (Flash talk and poster presentation); 1st Prize in the Young Researchers session
• EMBC 2022, Glasgow, UK, Wireless Closed-Loop DBS in Free-Moving 6-OHDA Rats (Poster presentation)