Comparing Connectivity-To-Reservoir Conversion Methods for Connectome-Based Reservoir Computing
Author:
Affiliation:
1. Hiroshima University,Graduate School of Advanced Science and Engineering,Hiroshima,Japan
Funder
Japan Society for the Promotion of Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650803.pdf?arnumber=10650803
Reference26 articles.
1. The”echo state" approach to analysing and training recurrent neural networks;Jaeger,2001
2. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
3. Recent advances in physical reservoir computing: A review
4. Imposing Connectome-Derived Topology on an Echo State Network
5. Using Connectome Features to Constrain Echo State Networks
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