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FENS – Chen Institute – NeuroLéman Summer School on Monitoring and manipulatingthe affective state: new perspectives on neurotechnologies and AI tools

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FENS – Chen Institute – NeuroLéman Summer School on Monitoring and manipulatingthe affective state: new perspectives on neurotechnologies and AI tools

Description
The 2024 edition of the FENS – Chen Institute – NeuroLéman Summer School will integrate fundamental and clinical neuroscience with technology (with a special angle toward artificial intelligence tools) and harmonise these three levels of investigations around novel approaches applied to animals and humans decrypting affective states. Diverse aspects of affective neuroscience spanning from emotions to disease states will be at the core of one-week discussions. The summer school is designed to provide participants with new views and applications in the domain of affective states. Furthermore, the courses will enable exchanges around novel technologies and concepts applied to animals and humans between local and international neuroscientists in a beautiful alpine lake environment.

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.

Course Details

  • Organiser: The University of Lausanne
  • Additional Organiser: FENS, Chen Institute and NeuroLéman
  • Scientific Chairs: Manuel Mameli – University of Lausanne (UNIL), Switzerland; Ron Stoop – University of Lausanne (UNIL), Switzerland
  • Attendance type(s): In Person
  • FENS members will benefit from preferential rates
  • Event Dates: 25—31 Aug 2024
  • Registration Deadline: 16 Apr 2024

Speakers

  • Ralph Adolphs (United States) – Emotions in humans with brain lesions
  • Ricardo Chavarriaga (Switzerland) – AI tools, technology
  • Valeria Gazzola (The Netherlands) – Empathy in rodents and humans
  • Sam Golden (United States) – Machine learning for measuring rodent emotional behaviours
  • Christine Heim (Germany) – Avenues for treatment of mood disorders
  • Andrew McStay (United Kingdom) – Emotional AI
  • Asya Rolls (Israel) – Immune-brain interactions in affective disorders
  • Carmen Sandi (Switzerland) – Neurobiological substrates for stress and anxiety

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