The structure of brain networks impose constraints on how neural signals circulate spontaneously or in response to external stimuli. We show in this study driven by Prof Esther Florin that pre-stimulus and resting-state activity indeed have similarities with post-stimulus responses.

This new study leverages the power of big-data analytics to create a practical app that can help doctors draw informed prognosis for patients affected by brain tumors (meningiomas).

We publish a new study that combines artificial intelligence with neurophysiological data to account for how the brain constantly issues active predictions of language contents in natural speech.

Paying attention to the source causing pain augments the feeling of pain, as opposed to when attending a distracting stimulus. In collaboration with Prof Petra Schweinhardt, we show the neurophysiological correlates of this percept, which emphasize oscillatory brain activity in the somatosensory cortex in the beta frequency range (15-35Hz).