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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
Event ANT Neuromeeting 2026 - Berlin
starts on
Jan 15, 2026, 8:00:00 AM
(Europe/Berlin)
Symbiosis of Accessible EEG and Powerful AI: New Prospects and Challenges for Brain-Derived Biomarkers in Medical Innovation
Location: Alte Kornkammer
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1/15/26, 2:30 PM
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1/15/26, 3:00 PM
(Europe/Berlin)
(30 minutes)
Anton Filipchuk
Scientific Lead
at Human Augmented Brain Systems (HABS)
Anton Filipchuk
Scientific Lead
at Human Augmented Brain Systems (HABS)
Dr. Anton Filipchuk is a neuroscientist whose research focuses on brain
electrophysiology and systems neuroscience. He earned his PhD in Neuroscience in
2011 at Aix-Marseille University (France), where he investigated early neuronal
mechanisms of ALS using combined experimental and computational modeling
approaches (e.g. Filipchuk et al, 2012, 2021).
Over the course of his international research career - spanning institutions including
CNRS, INSERM, Université Paris-Saclay (France), CSIC (Spain) and as a visiting faculty
member at the University of Oregon (USA) - he has studied sensory systems across
multiple levels of organization, from embryonic plasticity to conscious perception. His
work has advanced research on thalamo-cortical dynamics and large-scale cortical
activity using calcium imaging (e.g., Moreno-Juan, Filipchuk et al., 2017; Antón-Bolaños
et al., 2019; Filipchuk et al., 2022). More recently, the team he supervised has adopted a
multibiometric, EEG-based approach to investigate how virtual reality modulates brain
heart interactions (Sezer et al., 2025), reflecting a shift in his research trajectory from
fundamental mechanisms toward translational applications.
Building on this expertise, Anton Filipchuk joined HABS (Human Augmented Brain
System) as Scientific Lead. He oversees research on EEG and multibiometric biomarker
development and contributes to translating academic findings into applied work in
security, mobility, health, and customer experience.
EEG is an almost century-old technology living its revival today and leaving the walls of
hospitals and laboratories. Why now? Two major tendencies have converged in recent
years: the democratisation of wearable EEG hardware and the rise of AI models. The first
gives access to brain data in many new contexts, from at-home recordings to
measurements during everyday activities like driving or studying. The second changes
how we can read EEG: non-linear and non-stationary patterns that were difficult to
handle before are now becoming interpretable, giving hope to overcome old challenges
of the field: noise vulnerability and strong inter-subject variability.
At the same time, peripheral wearables are progressing fast, so multibiometric studies
are becoming more and more common. EEG can now be combined with autonomic and
other physiological signals for analyses that are more robust and closer to real life. This
is
why EEG-based multibiometric biomarkers are gaining interest, from drug
development to consumer experience evaluation.
In one of our recent multibiometric studies, we combined EEG with autonomic
physiology to understand who benefits from a VR-based intervention for real-life state
anxiety, which included a relaxing immersive environment, a hypnotic script, and a
breath-control exercise. After the intervention, all participants - independently of their
anxiety score - showed increased heart rate variability (HRV). But only the responders
displayed brain-to-heart connectivity, suggesting that central–peripheral correlates can
capture meaningful change that a single modality would miss.
These correlates also point to two concrete AI directions. First, models can be trained on
simultaneous EEG and peripheral signals, then deployed “in the wild” using peripheral
data only, while still being informed by the brain. Second, EEG can become a low-cost
proxy for advanced imaging: models trained on concurrent EEG-fMRI/PET/MEG
recordings can later estimate imaging-derived dynamics from EEG alone, making
complex brain processes more accessible.
MINDS IN MOTION
Mental Health Journeys: Stories, Art, and Science
Berlin, January 15th 2026