
Damien Depannemaecker
Institut de Neurosciences des Systèmes (INS), Aix-Marseille University
Damien Depannemaecker earned a bachelor’s degree in physics from the University of Aix-Marseille (France) and a master’s in life sciences from the École Pratique des Hautes Études (EPHE) in Paris. Motivated by a desire to contribute to scientific research, he pursued a PhD at the Federal University of São Paulo (UNIFESP) and the Federal University of São João del-Rei (UFSJ) in Brazil. He then continued his research in theoretical and computational neuroscience at the Institute of Neuroscience of Paris-Saclay (NeuroPSI) in France and is currently working at the Institute of Systems Neuroscience (INS) in Marseille. His interests include theoretical neuroscience and computational psychiatry, with a focus on potential clinical applications, the integration of scales, model development, and their domains of application.

Christophe Gauld
Lyon University Hospital (Hospices Civils de Lyon)
Christophe Gauld is a French child psychiatrist and sleep medicine specialist completing a PhD in the philosophy of medicine at Université Paris 1 and Lyon 3. With a background in computational neuroscience and philosophy, his research focuses on the epistemology of psychiatric classifications, symptom network models, and the integration of digital data into clinical practice. He has published on the philosophical foundations of nosology, the continuing role of polysomnography in sleep medicine, and computational approaches to psychopathology.
This Methods Collection examines how dynamical systems models can illuminate the complex, time-evolving processes underlying brain function and psychiatric disorders. Spanning molecular interactions, large-scale brain networks, and symptom dynamics, the collection highlights how non-linear, multi-scale dynamics shape cognition, behavior, and mental health.
We welcome original research, reviews, and methodological papers investigating dynamic processes across scales, such as neural network oscillations, brain–behavior interactions, psychiatric symptom networks, and clinical time-series analyses. Particular emphasis is placed on integrative approaches that connect fundamental neuroscience with clinical applications. Both novel findings and methodological advances are encouraged.
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2026
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