Category – Press Release

  • Press Release

Human Brain Project: Study presents large brain-like neural networks for AI

08 May 2023

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.

  • Press Release

Multilevel brain atlases provide tools for better diagnosis

11 November 2022

The multilevel Julich Brain Atlas developed by researchers in the Human Brain Project, could help in studying psychiatric and aging disorders by correlating brain networks with their underlying anatomical structure. By mapping microarchitecture with unprecedented levels of detail, the atlas allows for better understanding of brain connectivity and function. Researchers of the HBP have provided an overview of the Julich Brain Atlas published in the journal Biological Psychiatry, focusing on the cytoarchitecture and receptor architecture of the human brain, and how to apply it for research in the field of psychiatric research.

  • Press Release

A combination of micro and macro methods sheds new light on how different brain regions are connected

04 November 2022

To understand how our brain works, there is no getting around investigating how different brain regions are connected with each other by nerve fibres. In the most recent issue of Science, researchers of the Human Brain Project (HBP) review the current state of the field, provide insights on how the brain’s connectome is structured on different spatial scales – from the molecular and cellular to the macro level – and evaluate existing methods and future requirements for understanding the connectome’s complex organisation.