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Directional intermodular coupling enriches functional complexity in biological neuronal networks
However, this topology is dissimilar to the network formed by dissociated neurons in culture because they form randomly connected networks on homogeneous substrates.
Biological neurons act as generalization filters in reservoir computing
We first show that modular BNNs can be used to classify static input patterns with a linear decoder and that the modularity of the BNNs positively correlates with the classification accuracy.
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