Dominik Dold

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Dominik Dold is a Marie-Skłodowska Curie Postdoctoral Fellow at the Faculty of Mathematics of the University of Vienna. He investigates how functionality emerges in complex systems—including biological and artificial neural networks, lattice structures, (relational) graph structures, multirobot systems, and satellite swarms. A major focus of his work lies in spiking neural networks and methods of self-organization. Following a PhD in Heidelberg and Bern, he had a residency researcher position at Siemens and a research fellowship at the European Space Agency’s Advanced Concepts Team.


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Spike Mechanism of Biological Neurons May Boost Artificial Neural Networks

By incorporating electrical pulses with shapes similar to those of the spikes from biological neurons, researchers improved the ability to train energy-efficient types of neural networks. Read More »