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Broadband criticality of human brain network synchronizationIntrinsic noise induces critical behavior in leaky Markovian networks leading to avalanchingUner tan syndrome: history, clinical evaluations, genetics, and the dynamics of human quadrupedalismOptimized Gamma Synchronization Enhances Functional Binding of Fronto-Parietal Cortices in Mathematically Gifted Adolescents during Deductive Reasoning.Self-organized criticality in developing neuronal networksCommon and unique network dynamics in football gamesFailure of adaptive self-organized criticality during epileptic seizure attacksAdaptive reconfiguration of fractal small-world human brain functional networks.Avalanche dynamics of human brain oscillations: relation to critical branching processes and temporal correlations.Avalanches in self-organized critical neural networks: a minimal model for the neural SOC universality class.Emergence of Leadership in Communication.Developing neuronal networks: self-organized criticality predicts the future.Adaptive coevolutionary networks: a review.Self-organized criticality as a fundamental property of neural systems.Letting the brain speak for itself.Refractory period in network models of excitable nodes: self-sustaining stable dynamics, extended scaling region and oscillatory behavior.Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators.Analytical investigation of self-organized criticality in neural networks.Binary threshold networks as a natural null model for biological networks.Hopf bifurcation in the evolution of networks driven by spike-timing-dependent plasticity.Recurrent Information Optimization with Local, Metaplastic Synaptic Dynamics.Adaptive self-organization in a realistic neural network model.Critical branching captures activity in living neural networks and maximizes the number of metastable States.Microdynamics and criticality of adaptive regulatory networks.Slow synaptic dynamics in a network: from exponential to power-law forgetting.A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony.Real-time computation at the edge of chaos in recurrent neural networks.Critical line in random-threshold networks with inhomogeneous thresholds.Simple spontaneously active Hebbian learning model: homeostasis of activity and connectivity, and consequences for learning and epileptogenesis.Damage spreading and criticality in finite random dynamical networks.Coevolutionary networks with homophily and heterophily.Dynamic and Topological Interplay in Adaptive NetworksEvolution of Neural Dynamics in an Ecological ModelHomeostatic plasticity and emergence of functional networks in a whole-brain model at criticalitySelf-organized Criticality via Retro-Synaptic Signals
P2860
Q21145366-9AFB4892-E177-4D07-9A3B-9758F6EE3A90Q27323298-37EE971B-30D8-4BAC-87A4-A424BA82A71FQ28743381-9AAC3FA9-B8AA-43F2-9D3E-D1AC9CDFBCCAQ33736814-E11511D7-941E-4B57-A656-A3DC6F89EF98Q33769742-8BF53863-4EAC-48C7-BB54-EA072E019739Q34117828-07F21423-05DA-4BD6-BA11-1A2B1BA80675Q34126217-0DE2FD41-366D-4898-9740-B44D01AB676BQ34589600-80EF6287-A09F-4496-AA18-3AD26582052EQ34591443-03A307E7-7243-4093-934C-9D0A95E12445Q35151699-83AE0EE5-F27B-465A-B62B-2C1D05FC3E57Q36105718-CAA0BC90-6C44-4ABA-A02B-49A22087B290Q36540342-999524D3-235A-4C1D-BF0B-B56D7C0445F1Q36986222-885A3BAD-CC93-4006-AD45-D80D13799D4BQ38258072-DA1E4178-E9E1-4C1E-9245-1502D232054AQ38542384-388AF02B-A7B2-4676-8950-EFD7047E46C8Q41222362-1459B160-AFD8-41C5-AA30-59AE30BD2914Q41350075-ACA0AD8A-C1A0-4718-A16C-AA033BA7775EQ41809212-BB9FBF0D-9CFE-4217-A57E-6852A33E64AFQ45742879-8BAB5401-8DE1-4DB9-A154-B9D2FE36C5E4Q47770115-B4D8E8FC-679A-483B-B90E-A1B8C0B465B2Q48032981-17C1E5A6-32CC-4F9B-B8E2-4FAC000655EEQ48249055-B5D70743-D2BB-4DF6-A976-62DB6B186CC3Q48958214-4A1B638E-F07F-4A69-A4E1-0EA01F3445D4Q50581372-B635C0E2-3D27-4817-AEFB-2BBF85BA5011Q50628895-22E9D2AF-8C76-4783-B144-612D01C9A220Q51132784-A404B94A-8072-4B9E-B67D-8BDF05D0FDA4Q51636596-38339495-1BEA-47AC-A2CD-A29A88847E2EQ51849994-04210B1E-634B-43D4-AC8E-CE764D40E3CDQ51901386-73122B31-8E0B-4330-849C-BAC7547054E2Q53550884-18DF5E94-113C-416B-97F5-123725470156Q54458308-7870AC19-2DE3-49DC-B408-04A19BF5D6F2Q57067317-C37A2E1A-6598-4044-B3B0-AB55C8AE0DB8Q57542179-832D31A4-D33A-413D-AC6D-6DCF85E9A47AQ57794600-CAFDF837-04CA-4FF9-B792-4D8EEE9FE1F8Q58560719-0A0974D4-F638-4FBC-92AB-FCA09AD740A5
P2860
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
Self-organized critical neural networks.
@en
Self-organized critical neural networks.
@nl
type
label
Self-organized critical neural networks.
@en
Self-organized critical neural networks.
@nl
prefLabel
Self-organized critical neural networks.
@en
Self-organized critical neural networks.
@nl
P2860
P1433
P1476
Self-organized critical neural networks.
@en
P2093
Stefan Bornholdt
Torsten Röhl
P2860
P304
P356
10.1103/PHYSREVE.67.066118
P407
P433
P577
2003-06-27T00:00:00Z
P698
P818
cond-mat/0109256