The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

A standard feed-forward neural network computes its output values in a sequential input-process-output manner. A recurrent neural network has processing nodes which send output values both forward and ...

What Is A Recurrent Neural Network (RNN)? Recurrent Neural Networks (RNNs) are artificial neural networks designed to handle sequential data like text, speech or financial records. Unlike traditional ...

Chaotic networks produce rich temporal dynamics that could be useful for timing, but are extremely sensitive to perturbations. Work now shows that a learning rule for the weights of a chaotic ...

Risk Factors of Hyperglycemia After Treatment With the AKT Inhibitor Ipatasertib in the Prostate Cancer Setting: A Machine Learning–Based Investigation We analyzed a metastatic cancer patient cohort ...