Control algorithms for adaptive deep brain stimulation in Parkinson’s disease
Orłowski, J., Lowery M. (2026) Control algorithms for adaptive deep brain stimulation in Parkinson’s disease. IEEE Reviews in Biomedical Engineering (in press).
CV
Education
- Ph.D in Control Theory, Universite Paris Saclay, December 2019
- Thesis: Adaptive control of time-delay systems to counteract pathological brain oscillations
- M.Sc. in Neuroinformatics, University of Warsaw, September 2016
- Thesis: Measurement of local field potentials generated due to charge accumulation effect
- B.Sc. in Neuroinformatics, University of Warsaw, September 2014
- Thesis: Parametrization of evoked potentials in data acquired from a group of ASD patients and a control group
Publications
Neuromorphic Silicon Neuron Stimulator for Adaptive Deep Brain Stimulation in Parkinson’s Disease
Siddique, M. A. B., Orłowski, J., Zhang, Y., An, H. (2026, August) Neuromorphic Silicon Neuron Stimulator for Adaptive Deep Brain Stimulation in Parkinson’s Disease. In 2026 ACM International Conference on Neuromorphic Systems (ICONS), Chicago, IL, USA
A model-free control strategy for selective disruption of parkinsonian brain oscillations
Join, C., Orłowski, J., Chaillet., A, Lowery, M., Mounier, H., Fliess, M. (2025, September) A model-free control strategy for selective disruption of parkinsonian brain oscillations. In 23rd International Conference on Computational Methods in Systems Biology, Lyon, France.
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
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.
Iterative feedback tuning of proportional-integral controller parameters for adaptive deep brain stimulation
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). 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE.
Adaptive control of Lipschitz time-delay systems by sigma modification with application to neuronal population dynamics
Orłowski, J., Chaillet, A., Destexhe, A., & Sigalotti, M. (2022). Adaptive control of Lipschitz time-delay systems by sigma modification with application to neuronal population dynamics. In Systems & Control Letters (Vol. 159, p. 105082). Elsevier BV
Self-Tuning Deep Brain Stimulation Controller for Suppression of Beta Oscillations: Analytical Derivation and Numerical Validation
Fleming, J. E.*, Orłowski, J.*, Lowery, M. M., & Chaillet, A. (2020). Self-Tuning Deep Brain Stimulation Controller for Suppression of Beta Oscillations: Analytical Derivation and Numerical Validation. In Frontiers in Neuroscience (Vol. 14). Frontiers Media SA.
Counterexample to a Lyapunov Condition for Uniform Asymptotic Partial Stability
Orłowski, J., Chaillet, A., & Sigalotti, M. (2020). Counterexample to a Lyapunov Condition for Uniform Asymptotic Partial Stability. In IEEE Control Systems Letters (Vol. 4, Issue 2, pp. 397–401). Institute of Electrical and Electronics Engineers (IEEE).
A relaxed Lyapunov-Krasovskii condition for global exponential stability of Lipschitz time-delay systems
Chaillet, A., Orłowski, J., & Pepe, P. (2019). A relaxed Lyapunov-Krasovskii condition for global exponential stability of Lipschitz time-delay systems. In 2019 IEEE 58th Conference on Decision and Control (CDC). 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE.
Adaptive Scheme for Pathological Oscillations Disruption in a Delayed Neuronal Population Model
Orłowski, J., Chaillet, A., Sigalotti, M., & Destexhe, A. (2018). Adaptive Scheme for Pathological Oscillations Disruption in a Delayed Neuronal Population Model. In 2018 IEEE Conference on Decision and Control (CDC). 2018 IEEE Conference on Decision and Control (CDC). IEEE.
Real-World Evolution of Robot Morphologies: A Proof of Concept
Jelisavcic, M., de Carlo, M., Hupkes, E., Eustratiadis, P., Orłowski, J., Haasdijk, E., Auerbach, J. E., & Eiben, A. E. (2017). Real-World Evolution of Robot Morphologies: A Proof of Concept. In Artificial Life (Vol. 23, Issue 2, pp. 206–235). MIT Press - Journals.