Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

Researchers at the Ernst Strüngmann Institute in Frankfurt am Main, Germany, led by Wolf Singer, have made a new discovery in ...

In the present work, we identified an algorithmic neural substrate for modular computation through the study of multitasking artificial recurrent neural networks." ...

How can we characterize the dynamics of neural networks with recurrent connections? How do the time-varying activities of populations of neurons represent things? How are synapse strengths ...

Modifying recurrent neural networks to encode working memory with transient trajectory leads to higher performance in simulated tasks, supporting the transient activity theory as a working memory ...

The earliest neural networks, which have later evolved into the large language models (LLMs) revolutionizing our society, were developed to study how information is processed in our brains. Ironically ...

More information: Luisa H. B. Liboni et al, Image segmentation with traveling waves in an exactly solvable recurrent neural network, Proceedings of the National Academy of Sciences (2025).