Join us Wednesday 6th March at 5pm CET for our sixth episode of Brain Series featuring Simon M. Hofmann hosted by Maryna Polyakova 🇺🇦 discussing Brain Age Measurements & AI in Neuroscience. This podcast is in collaboration with Cerebrum DAO 🧠 🧠 x.com/i/spaces/1gqxv…

Looking forward to our interview with Simon M. Hofmann, where we will discuss explainable AI in neuroscience and dive into Brain age measurements, the topics we touched many times in our office breaks at MPI für Kognitions- & Neurowissenschaften 🧠

Was that a mosquito? 🦟🦟🦟 Well, you better consider the probability of mozzies in your current environment! Go check out my PhD project finally summarized in a preprint: biorxiv.org/content/10.110… #somatosensoryperception #expectations #previouschoice #oscillations #MNEPython

"The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain" bioRxiv MPI für Kognitions- & Neurowissenschaften Abstract Deep learning models highly accurately predict brain-age from MRI but their explanatory capacity is limited. Explainable

Whats the brain age, and why? In our new preprint Simon M. Hofmann @Ole_Go_ investigate the link of relevance maps from DNN BrainAge prediction with classical neuroimaging markers of aging. Check out which are most relevant 🚨doi.org/10.1101/2024.0…