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Non-invasive temporal interference electrical brain stimulation
Prof. Nir GrossmanDone
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Cerebellar EEG oscillation in human vocalization
Prof. Dr. Guy CheronDone
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Delta-band audience brain synchrony tracks engagement with live and recorded dance
Prof. Dr. Guido OrgsDone
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REM Sleep and Epic Dreaming
Ivana Rosenzweig MD, PhD, FRCPsychDone
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📢 Welcome Speech
Martijn Schreuder, PhDDone
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Electrophysiological characterization enables mechanistic insight beyond observable behavior
Robert Fleischmann, MD, PhDDone
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Dementia Research in the AI Era: Lessons and Future Directions from the AI-Mind Project
Ira H. Haraldsen (MD, PhD, Principal Investigator) & Christoffer Hatlestad-Hall (PhD, Postdoctoral researcher)Done
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📢 Opening Remarks
Sebastian CarstensDone
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Present and future of rTMS for Treatment Resistant Depression
Jaime Adan, MD, PhDDone
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Multisensory Processing: sometimes we integrate and sometimes we need to segregate.
John J. Foxe, PhDDone
Patrique Fiedler studied electrical engineering and information technology at the Technical University Ilmenau. He received his PhD in biomedical engineering in 2017. He then moved to industry from 2017 to 2021 and held development, project and product management positions at an internationally active medical technology manufacturer. Mr. Fiedler has been a visiting scientist at the University of Porto (Portugal), Complutense University Madrid (Spain), and University of Pescara-Chieti (Italy) on several occasions. Since 2025, Patrique Fiedler is Full Professor and Head of the group "Data Analysis in Life Sciences" at the Institute of Biomedical Engineering and Computer Science at the Technical University Ilmenau.
His research interests include data fusion, analysis of multimodal datasets and body sensor networks, as well as the exploration of novel sensor concepts for biomedical engineering. Moreover, a focus is the development of online-capable analysis methods for close-to-sensor data processing.
The optimal individual parameter setting of a cochlear implant (CI) is crucial for the patient's hearing ability, speech understanding, and thus the success of the therapy. The configuration of CI parameters is commonly referred to as the fitting procedure. Current clinical workflows rely on manual CI fitting, which is labor-intensive, costly, and highly dependent on subjective judgments, resulting in inconsistent outcomes. Moreover, this approach is unsuitable for patient groups with limited cooperation, such as infants and young children. Due to resource constraints, regular readjustments of CI fittings are also severely limited.
The aim of the ICoStim project is to create a novel method for objective and individualized fitting of the stimulation parameters of CIs. This innovative method combines current technological and methodological research results in mobile EEG hardware, auditory stimulation and objective determination of stimulation parameters based on EEG, as well as dry EEG sensor technology and sensor applicators.
In this talk, partners from Technische Universität Ilmenau (Prof. Patrique Fiedler) and Hannover Medical School (Prof. Waldo Nogueira) will provide an overview of the state of the art in dry electrode technology and auditory stimulation for CI objective fitting. Based on preliminary results, they will outline the project aims and key research areas as well as their vision of the ICoStim fully integrated closed-loop fitting device for CIs.