Can electric stimulation help the brain regain speech after a stroke? Can generative artificial intelligence create realistic 3D objects? Can qubits, the fundamental units of quantum computing, be entangled using light? These are among the questions that five research teams at the Technical University of Munich (TUM) aim to answer with the support of prestigious ERC Consolidator Grants.

Three studies recently published within just one month by the journal Cerebral Cortex present new models of spiking networks in the brain. Electrical spikes of neurons are at the core of neural information processing. With millions of neurons and billions of synapses, the new generation of open models are powerful tools to study the complex dynamics in large networks, with implications for basic neuroscience, neuromorphic computing and AI. On EBRAINS, researchers will be able to use the large-scale neuronal network models as adaptable building blocks in their investigations and combine them with other brain simulation tools across scales.

The HU neuroscientist wants to develop methods for analysing large brains using the elephant brain as an example.