Computational Neuroscience

Projects within this theme aim at better understanding brain function and pathologies, from genes to organelles and cells, and from local networks to the whole organ.

Biological expertise on mitochondria, metabolism, neural coding, glial cells and auditory processing is combined with computational approaches and experimental methods such as MRI, electrophysiology, electron microscopy, information theory, metabolic modelling, neural circuits models and optical imaging.

People

  • Elia Formisano - neural signal analysis and modelling, computational neuroimaging, computational audition
  • Renaud Jolivet - neuron-glia interactions, brain energy metabolism, brain imaging, information theory, brain-machine interfaces
  • Michelle Moerel - neural plasticity, attention, learning, ultra-high field MRI, auditory processing, tinnitus
  • Mike Gerards - mitochondria, mitochondrial dynamics, protein characterization, RNA-seq

Projects

Active projects

  • Tuning into sound: The role of the corticothalamic circuitry in adaptive auditory processing (NWO VIDI, M. Moerel, 2025-2030)
  • ERC-Synergy NASCE Project (start 2024, E. Formisano)
  • Combining ultra-high field MRI with computational modeling to study human tinnitus (NWO Aspasia, M. Moerel, 2022-2027)
  • Modeling the Metabolic Diversity of the Brain’s Glial Cells (CSC, M. Breuer and R. Jolivet, 2023-2027)

     

  • HORIZON-INFRA-2022-SERV-B-01-01 EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (Horizon Europe, R. Jolivet, 2024-2026)
  • Aud2Sem: Acoustic to Semantic Transformations in Human Auditory Cortex - NWO Open Competition SSH (2021-2026, E. Formisano)

Completed projects