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Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks.

, , , и . WIVACE, том 1977 из Communications in Computer and Information Science, стр. 241-255. Springer, (2023)

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On Artificial Life and Emergent Computation in Physical Substrates., , и . CoRR, (2020)Hallmarks of Criticality in Neuronal Networks Depend on Cell Type and the Temporal Resolution of Neuronal Avalanches., , , , , и . Int. J. Unconv. Comput., 16 (4): 303-326 (2021)Local learning through propagation delays in spiking neural networks., , , и . CoRR, (2022)Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity., , , , , и . SSCI, стр. 1-10. IEEE, (2021)Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches., , , , и . SSCI, стр. 247-254. IEEE, (2019)Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity., , , , , , и . CoRR, (2019)Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation., , , , , , и . Frontiers Comput. Neurosci., (2021)Optimization of a Hydrodynamic Computational Reservoir through Evolution., , , , и . CoRR, (2023)Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks., , , и . WIVACE, том 1977 из Communications in Computer and Information Science, стр. 241-255. Springer, (2023)