2 papers
cs.NE2026
Evolutionary Algorithm for Reservoir Learning and Yielding
Julien Testu, Pierrick Legrand, Xavier Hinaut
Reservoir computing, a type of recurrent neural network, is a promising approach for temporal learning as it separates dynamic processing from the trained readout layer. However, c…
cs.ET2026
What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity
Laura Alonso Bartolomé, Jean-Loup Faulon, Xavier Hinaut
Biological systems are promising substrates for computation because they naturally process environmental information through complex internal dynamics. In this study, we investigat…