Slides and notebooks for the workshop on Monday 17/07/23: https://cna2023.ift.uj.edu.pl/ How to implement and train an RNN in decision making and cognitive tasks.
Bibliography:
Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks Accepted https://arxiv.org/abs/1906.01094
Effect in the spectra of eigenvalues and dynamics of RNNs trained with Excitatory-Inhibitory constraint https://doi.org/10.1007/s11571-023-09956-w
Recurrent Neural Networks as Electrical Networks, a Formalization: https://link.springer.com/chapter/10.1007/978-3-031-23210-7_10
Different eigenvalue distributions encode the same temporal tasks in recurrent neural networks 10.1007/s11571-022-09802-5
Multitasking in RNN: an analysis exploring the combination of simple tasks: https://iopscience.iop.org/article/10.1088/2632-072X/abdee3