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Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots.

, , , , , and . Knowl. Eng. Rev., (2022)

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Local learning through propagation delays in spiking neural networks., , , and . CoRR, (2022)Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity., , , , , and . SSCI, page 1-10. IEEE, (2021)Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches., , , , and . SSCI, page 247-254. IEEE, (2019)Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks., , , , , , , and . SSCI, page 2360-2366. IEEE, (2019)Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches., , , , , and . Int. J. Unconv. Comput., 16 (4): 303-326 (2021)Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots - Corrigendum., , , , , and . Knowl. Eng. Rev., (2022)Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation., , , , , , and . Frontiers Comput. Neurosci., (2021)Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks., , , and . WIVACE, volume 1977 of Communications in Computer and Information Science, page 241-255. Springer, (2023)Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots., , , , , and . Knowl. Eng. Rev., (2022)Towards making a cyborg: A closed-loop reservoir-neuro system., , , , , , , , , and 2 other author(s). ECAL, page 430-437. MIT Press, (2017)