"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...

Networks of neurons can perform computations that have proved very difficult to emulate in conventional computers ... can we characterize the dynamics of neural networks with recurrent connections?

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

SNN algorithms also tend to be around 100 times smaller in terms of file size than conventional deep neural networks used in large language models. There are three fundamental layers in the T1 chip.

Traditional artificial intelligence (AI) systems are built on artificial neural networks that mimic the human brain’s neurons ...