Rate My Professor Lars Muckli

Muckli's research centers on brain imaging of cortical feedback, layer-specific fMRI signals, predictive coding theories, and multi-level cross-species computational neuroscience for context-sensitive multisensory object recognition. Since 2016, he has been involved in the Human Brain Project, leading a work package on rodent and human neuroscience, and previously held an ERC Consolidator Grant titled 'Brain reading of contextual feedback and predictions.' Key publications include 'The spatial precision of contextual feedback signals in human V1' (Biology, 2023, with F.W. Smith), 'Cortical feedback signals generalise across different spatial frequencies of feedforward inputs' (NeuroImage, 2018, with Y. Revina), 'Decoding sound and imagery content in early visual cortex' (Current Biology, 2014, with P. Vetter and F.W. Smith), 'Contextual feedback to superficial layers of V1' (Current Biology, 2015, with F. De Martino et al.), and 'Cortical depth profiles in primary visual cortex for illusory and imaginary experiences' (Nature Communications, 2024, with J. Bergmann et al.). His innovations in high-resolution 7T fMRI have significantly impacted studies of perception, cognition, and consciousness.