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pro vyhledávání: '"Ralph Bourdoukan"'
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 3, p e1007692 (2020)
Networks based on coordinated spike coding can encode information with high efficiency in the spike trains of individual neurons. These networks exhibit single-neuron variability and tuning curves as typically observed in cortex, but paradoxically co
Externí odkaz:
https://doaj.org/article/6145ada207a14afeb2529f6d77c13834
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 3, p e1007692 (2020)
PLoS Computational Biology
PLoS Computational Biology, Public Library of Science, 2020, 16 (3), pp.e1007692. ⟨10.1371/journal.pcbi.1007692⟩
PLoS Computational Biology
PLoS Computational Biology, Public Library of Science, 2020, 16 (3), pp.e1007692. ⟨10.1371/journal.pcbi.1007692⟩
Networks based on coordinated spike coding can encode information with high efficiency in the spike trains of individual neurons. These networks exhibit single-neuron variability and tuning curves as typically observed in cortex, but paradoxically co
Understanding how the brain learns to compute functions reliably, efficiently and robustly with noisy spiking activity is a fundamental challenge in neuroscience. Most sensory and motor tasks can be described as dynamical systems and could presumably
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddb4fe4722de308a008a6a34858df0d9