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

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 researchers ran a series of analyses, which revealed that in convolutional neural networks, so-called dynamical motifs are implemented by clusters of units when the unit activation function is ...

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).

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 ...