FENS – Chen Institute – NeuroLéman Summer School on Neurobiology of Psychiatric Disorders
The FENS – Chen Institute – NeuroLéman Summer School Series on Brain Dynamics in Health and Disease explores cutting-edge technologies for basic and clinical neuroscience, in order to develop novel concepts and new research techniques to address the challenges of investigating brain function and dysfunction.
The 2025 edition of the FENS – Chen Institute – NeuroLéman Summer School will focus on neurobiology of psychiatric disorders, integrating fundamental neuroscience research with clinical applications and cutting-edge AI technologies. The program will cover key areas including Social Neuroscience, Cognitive Neuroscience, Motivational Systems, Computational Psychiatry, and AI Applications in Psychiatry. Each topic will explore neural mechanisms and their alterations in specific psychiatric disorders, while highlighting how AI tools are transforming diagnosis, treatment, and our understanding of brain function. The summer school aims to foster interdisciplinary discussions and knowledge exchange between local and international neuroscientists, bridging the gap between basic research, clinical practice, and technological innovation in the field of psychiatry. Participants will have the opportunity to engage with leading experts in a collaborative alpine lake environment, promoting a comprehensive understanding of brain function in both health and disease states, and the role of AI in advancing psychiatric care.
Proposed Speakers
- Camilla Bellone (University of Geneva) – Circuit dysfunctions in ASD (Fundamental)
- Alan Carleton (University of Geneva) – Cognitive circuit dysfunctions in schizophrenia (Fundamental)
- Guillaume Dumas (University of Montreal) – Machine learning and psychiatry
- Stephan Eliez (University of Geneva) – Digital psychiatry in schizophrenia (Clinical)
- Ileana Hanganu-Opatz (University of Hamburg) – Developmental circuit dysfunctions (Fundamental)
- Stefan Kaiser (University of Geneva) – Motivational deficits in schizophrenia (Clinical)
- Christian Lüscher (University of Geneva) – Motivational deficits in addiction (Fundamental)
- Lin Mei (Case Western Reserve University School of Medicine) – Synaptic dysfunctions in psychiatric disorders (Fundamental)
- Frederike Petzschner (Brown University) – Psychiatry, Embodiment and Computation (Clinical & Fundamental)
- Marie Schaer (University of Geneva) – AI-driven deep phenotyping (Clinical)