Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
about
Chimera-like States in Modular Neural Networks.Successful network inference from time-series data using mutual information rate.Maintaining extensivity in evolutionary multiplex networks.Chaotic, informational and synchronous behaviour of multiplex networks.Dynamic range in the C. elegans brain network.Inference of financial networks using the normalised mutual information rate.
P2860
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
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2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
@zh-hant
2015年論文
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2015年論文
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2015年論文
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2015年论文
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2015年论文
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2015年论文
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name
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
@ast
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
@en
type
label
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
@ast
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
@en
prefLabel
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
@ast
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
@en
P2093
P2860
P1476
Do Brain Networks Evolve by Maximizing Their Information Flow Capacity?
@en
P2093
Murilo S Baptista
Sandro E de S Pinto
Shambhavi Srivastava
P2860
P304
P356
10.1371/JOURNAL.PCBI.1004372
P577
2015-08-28T00:00:00Z
P5875
P698
P818
1508.03527