Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

And the two scientists learned that a recurrent neural network structure, or RNN, is responsible for those functions. “This RNN receives inputs from emotional regions of the brain and sends outputs to ...

And the two scientists learned that a recurrent neural network structure, or RNN, is responsible for those functions. “This RNN receives inputs from emotional regions of the brain and sends outputs to ...

A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional ...

More information: Omid G. Sani et al, Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks, Nature Neuroscience (2024). DOI: 10.1038 ...

Researchers study recurrent neural network structure in the brain. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2021 / 09 / 210921172655.htm ...