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