Imposing Connectome-Derived Topology on an Echo State Network
Author:
Affiliation:
1. The University of Western Ontario,Department of Computer Science,London,ON,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892629.pdf?arnumber=9892629
Reference21 articles.
1. A Fully-Connected Neural Network Derived from an Electron Microscopy Map of Olfactory Neurons in Drosophila Melanogaster for Odor Classification
2. A connectome and analysis of the adult Drosophila central brain
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4. Mackey-Glass noisy chaotic time series prediction by a swarm-optimized neural network
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1. Comparing Connectivity-To-Reservoir Conversion Methods for Connectome-Based Reservoir Computing;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. An organized view of reservoir computing: a perspective on theory and technology development;Japanese Journal of Applied Physics;2024-05-01
3. Multifunctionality in a Connectome-Based Reservoir Computer;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
4. Using Connectome Features to Constrain Echo State Networks;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
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