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✅Registration
Jan. 15
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📢Opening remarks
Jan. 15
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Trustworthy virtual brains
Prof. Dr. Petra RitterJan. 15
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Multisensory Processing: sometimes we integrate and sometimes we need to segregate.
John J. Foxe, PhDJan. 15
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☕Coffee break
Jan. 15
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Cerebellar EEG oscillation in human vocalization
Prof. Dr. Guy CheronJan. 15
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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)Jan. 15
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Investigating Variability in EEG-Based Brain-Computer Interfaces: Insights from the NEARBY Project
Dr. Maurice RekrutJan. 15
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🥗Lunch break
Jan. 15
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REM Sleep and Epic Dreaming
Ivana Rosenzweig MD, PhD, FRCPsychJan. 15
Patrique Fiedler studied electrical engineering and information technology at the Technische Universität Ilmenau and 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. Prof. 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 Technische Universität Ilmenau. During his academic career he received several awards including the best PhD thesis award 2018 of TU Ilmenau and the BIOMAG young investigator award.
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.
MINDS IN MOTION
Mental Health Journeys: Stories, Art, and Science
Berlin, January 15th 2026