Brain connectivity meets reservoir computing
Fig 1
For each of the three species we generated a Bio- Echo State Network (BioESN) by integrating the real connectivity pattern as reservoir of an Echo State Network (ESN). Thus, in contrast to the classical ESN with randomly connected reservoir, BioESNs have connectomes based on connectivity coming from the empirical connectomes. We also propose a framework for mapping biological to artificial networks, bio2art, which allows to optionally scale up the empirical connectomes to augment the model capacity. The resulting BioESNs are then tested on cognitive tasks (see Methods for details on the tasks).
doi: https://doi.org/10.1371/journal.pcbi.1010639.g001