Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

Overall, the recent study by this team of researchers pinpoints a substrate of convolutional neural networks that significantly contributes to their ability to effectively tackle multiple tasks ...

Applications based on long short-term memory (LSTM), a recurrent neural network (RNN) type, are used in 5G networks to ...

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 ...

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).

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 ...