Control algorithms for adaptive deep brain stimulation in Parkinson’s disease
Published in IEEE Reviews in Biomedical Engineering, 2026. Download [here]
Publications
Neuromorphic Silicon Neuron Stimulator for Adaptive Deep Brain Stimulation in Parkinson’s Disease
Published in Proceedings of the 2026 International Conference on Neuromorphic Systems (ICONS), 2026. Download [here]
A model-free control strategy for selective disruption of parkinsonian brain oscillations
Published in 2025 Computational Methods in Systems Biology conference (CMSB), 2025. Download [here]
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
Published in Neuromodulation: Technology at the Neural Interface, 2023. Download [here]
Iterative feedback tuning of proportional-integral controller parameters for adaptive deep brain stimulation
Published in 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 2023. Download [here]
Adaptive control of Lipschitz time-delay systems by sigma modification with application to neuronal population dynamics
Published in Systems & Control Letters, 2021. Download [here]
Self-Tuning Deep Brain Stimulation Controller for Suppression of Beta Oscillations: Analytical Derivation and Numerical Validation
Published in Frontiers in Neuroscience, 2020. Download [here]
Counterexample to a Lyapunov Condition for Uniform Asymptotic Partial Stability
Published in IEEE Control System Letters, 2019. Download [here]
A relaxed Lyapunov-Krasovskii condition for global exponential stability of Lipschitz time-delay systems
Published in 2019 IEEE 58th Conference on Decision and Control (CDC), 2019. Download [here]
Adaptive Scheme for Pathological Oscillations Disruption in a Delayed Neuronal Population Model
Published in 2018 IEEE Conference on Decision and Control (CDC), 2018
Real-World Evolution of Robot Morphologies: A Proof of Concept
Published in Artificial Life, 2017. Download [here]