Neuroscience has entered a new, digital phase. The combination of brain research with supercomputing in large-scale, multi-disciplinary research collaborations has enabled an innovative approach to deciphering the brain, using powerful scientific technologies and data ressources. These developments open up new possibilities for brain research, medicine and technology. A position paper by over 100 authors, now published in the journal Imaging Neuroscience, summarises the current status and identifies the key points for further developments in digital neuroscience.
From 21-24 November, the final Human Brain Project (HBP) review was held in Brussels during which members of the HBP consortium presented the final project results to a panel of external scientific experts. The scope of this review was the final phase of the HBP, which ended in September 2023. Results were presented in detailed documentation and presentations and followed by extensive Q&As.
On September 30th, the Human Brain Project (HBP) formally completes its 10-year runtime as an EU-funded FET Flagship. The project has pioneered digital neuroscience, a new approach to studying the brain based on multidisciplinary collaborations and high-performance computing. The HBP will continue to have an impact on neuroscience for many years through the EBRAINS research infrastructure and a new way of collaborative work in the field.
The EU-funded Human Brain Project (HBP) comes to an end in September and celebrates its successful conclusion today with a scientific symposium at Forschungszentrum Jülich (FZJ). The HBP was one of the first flagship projects and, with 155 cooperating institutions from 19 countries and a total budget of 607 million euros, one of the largest research projects in Europe. Forschungszentrum Jülich, with its world-leading brain research institute and the Jülich Supercomputing Centre, played an important role in the ten-year project.
HBP researchers from Forschungszentrum Jülich and the University of Cologne (Germany) have uncovered how neuron densities are distributed across and within cortical areas in the mammalian brain. They have unveiled a fundamental organisational principle of cortical cytoarchitecture: the ubiquitous lognormal distribution of neuron densities.
Researchers of the Human Brain Project have coupled the measurements of brain waves associated with disorders of consciousness (DoC) with glucose usage in specific brain areas, identifying where in the brain the waves might be generated. The study for the first time adds the dimension of location and energy consumption to the reading of brain waves in DoC, and reveals the important role of subcortical areas in driving cortical activity associated with consciousness. The findings have been published in the journal Cell Reports.
A key challenge in neuroscience is to understand how the brain can adapt to a changing world, even with a relatively static anatomy. The way the brain’s areas are structurally and functionally related to each other – its connectivity – is a key component. In order to explain its dynamics and functions, we also need to add another piece to the puzzle: receptors. Now, a new mapping by Human Brain Project (HBP) researchers from the Forschungszentrum Jülich (Germany) and Heinrich-Heine-University Düsseldorf (Germany), in collaboration with scientists from the University of Bristol (UK), New York University (USA), Child Mind Institute (USA), …
Researchers of the Human Brain Project have used a model-based approach to identify the brain circuits implicated in consciousness. The results of the study, a collaboration between Pompeu Fabra University in Barcelona and University of Liège, have been published in the journal Human Brain Mapping. The team studied the propagation of signals in models of the brain of patients with disorders of consciousness (DoC), identifying two relevant circuits in the posterior cortical region and the thalamo-frontotemporal region. The results bring more understanding of the inner workings of brain networks and could improve diagnosis and even provide treatment targets for people …
Do intelligent people think faster than others when solving problems? The results of a new study by Human Brain Project researchers at Charité University Berlin together with their collaborator at University Pompeu Fabra in Barcelona, published in Nature Communications, are challenging this long-held assumption in intelligence research. Taking a biologically inspired approach, they built 650 personalized brain network models (BNMs) based on data from the Human Connectome Project and simulated the brain dynamics involved in problem solving.
In a new study in Nature Machine Intelligence*, researchers Bojian Yin and Sander Bohté from the HBP partner Dutch National Research Institute for Mathematics and Computer Science (CWI) demonstrate a significant step towards artificial intelligence that can be used in local devices like smartphones and in VR-like applications, while protecting privacy. They show how brain-like neurons combined with novel learning methods enable training fast and energy-efficient spiking neural networks on a large scale. Potential applications range from wearable AI to speech recognition and Augmented Reality.
