Georgia Tech Neuro Seminar Series
Participation Link: https://bluejeans.com/824485104/
"Artificial Intelligence Platforms for Translatable Closed-loop Neuromodulation"
Babak Mahmoudi, Ph.D.
Department of Biomedical Informatics
Next-generation closed-loop neuromodulation systems that combine neural sensing and stimulation with real-time computing have the potential to revolutionize our understanding of the information processing in the brain by selectively regulating specific features of neural activities and test the causal link between manipulating those features and the behavioral or clinical outcomes. These systems can offer substantial benefit for adaptive and patient-specific treatment of neuropsychiatric disorders and to restore function after disease or injuries. Recent advances in neural technologies and artificial intelligence have created unprecedented opportunities to record the neural activities in the brain with extremely high temporal and spatial resolution, analyze the neural data in real-time and precisely modulate the brain activity. We aim to develop an end-to-end platform to design, test and deploy intelligent closed-loop neuromodulation systems that automatically learn the optimal neuromodulation control policies based on specific biomarkers or behavioral outcomes.