News

EBRAINS has endorsed the Charter of Access for Industrial Users to Research and Technology Infrastructures, adopted by the European Commission to speed up and simplify companies' access to Europe's world-class research and technology infrastructures. 

EBRAINS has endorsed the Joint Declaration on Advancing Neurological Health, adding its support to the call for coordinated European action on neurological health during Ireland's Presidency of the Council of the European Union.

Brain stimulation can produce very different effects at different moments, even when the stimulus is delivered the exact same way. A new study published in Brain Stimulation, based on detailed EBRAINS-hosted brain data, shows that the brain’s ongoing activity before stimulation can predict much of this variability, offering a path toward more reliable neuromodulation therapies.

Researchers have developed a computer model of the human cortex that links its microscopic chemistry to its brain-wide patterns of activity, providing new evidence that regional differences in receptor density help shape how activity and information move across the brain.

In the current issue of the renowned journal Nature Methods, siibra is introduced: a software suite that integrates data from different multimodal sources into a comprehensive atlas of the human brain and makes it easily accessible—for interactive exploration as well as for automated and reproducible data analyses, simulations, and AI applications. Siibra is developed by an international team of scientists under the leadership of the Institute of Neuroscience and Medicine (INM-1) at Forschungszentrum Jülich.

In a new interview, we talk to EBRAINS Chief Science Officer Viktor Jirsa about his impressions from the EBRAINS Roadmap Symposium, and how the discussions will inform the writing of the EBRAINS Roadmap.

A new study supported by EBRAINS 2.0 and the Virtual Brain Twin Project has presented a biologically grounded computer model of the cerebellar cortex – the part of the brain involved in coordinating movement and supporting learning – that simulates brain activity with remarkable realism.

Researchers developed tailored computational mean-field brain models to capture how different cerebellar regions generate and shape neural activity. Integrated into The Virtual Brain platform using EBRAINS infrastructure, this work enables biologically grounded, multi-scale brain simulations for clinical applications.

A team of researchers from the University of Pavia has introduced a tool that automatically converts detailed spiking neural network models into simpler “mean field model” (MFM) equations – mathematical descriptions that capture the dynamics of populations of neurons.