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
- Aud2Sem: Acoustic to Semantic Transformations in Human Auditory Cortex - NWO Open Competition SSH
- Whose phone is that? An ultra-high field fMRI investigation of attentive listening and auditory cortical plasticity – NWO Veni
- Neuroscience outreach platform BrainMatters
- H2020 IN-FET
- H2020 GAMMA-MRI
- Old brain cells perform new tricks to allow life-long learning, Australian Research Council DP220100100