Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.
about
Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities.The Complexity of Dynamics in Small Neural Circuits.Persistent homology of time-dependent functional networks constructed from coupled time series.Multiscale modeling of brain dynamics: from single neurons and networks to mathematical tools.Neurons as oscillators.Oscillating systems with cointegrated phase processes.A mean field model for movement induced changes in the beta rhythm.Isotropy of Angular Frequencies and Weak Chimeras with Broken Symmetry.Bumps in Small-World Networks.Measuring Relative Coupling Strength in Circadian Systems.Macroscopic phase-resetting curves for spiking neural networks.Optimizing mutual synchronization of rhythmic spatiotemporal patterns in reaction-diffusion systems.Optimizing stability of mutual synchronization between a pair of limit-cycle oscillators with weak cross coupling.Firing rate equations require a spike synchrony mechanism to correctly describe fast oscillations in inhibitory networks.Transient sequences in a hypernetwork generated by an adaptive network of spiking neurons.Collective phase reduction of globally coupled noisy dynamical elements.The Dynamics of Networks of Identical Theta Neurons.Phase-amplitude reduction of transient dynamics far from attractors for limit-cycling systems.From Quasiperiodic Partial Synchronization to Collective Chaos in Populations of Inhibitory Neurons with Delay.Chaos in generically coupled phase oscillator networks with nonpairwise interactions.Optimization of noise-induced synchronization of oscillator networks.Short-time-delay limit of the self-coupled FitzHugh-Nagumo system.Closed-Loop Deep Brain Stimulation for Refractory Chronic Pain.The choroid plexus is an important circadian clock component.Stochastic Hybrid Systems in Cellular Neuroscience
P2860
Q33786935-98B5E7DF-5441-4EA9-8320-399B383AE27DQ36096145-688114FD-7649-433F-8D7E-4881A1D87BFCQ38813070-AE04059C-6B25-418E-84E3-E949E28E9AA4Q38875900-05E1EC29-C774-457B-8A00-F052CCB46CD9Q38967599-51C61B15-2684-442E-B0A9-319621A2F6EBQ38990702-7A7D67F7-025D-4E89-A9ED-D2BE084C1255Q41620849-6E89E395-D3D0-4801-9701-0CBA1907C1BDQ41941159-6898B85B-BBFC-4FB7-BB47-BA975C0E8240Q42082544-5182E065-EDE0-4E99-9556-C321B1713ADAQ47345333-1B7453E8-B342-4689-9FDA-0CAF5BE5E4FCQ47559663-B6831B29-D237-477F-9BFF-4927498D8C8BQ47560512-FE33CC45-D3E9-4414-8175-D87EA15D52FBQ47560529-7BE3A499-AA20-4BD9-AE19-EF61DF5D9E3FQ47570439-1DDB02D5-7080-4996-9EA2-6AFF5DA743E4Q47844238-DAFBBA7E-72BE-4027-8592-BC6E6224E575Q47883507-91F0C5D3-2725-4AA4-B3A9-207DF4CC9DF9Q48101242-BC7E450E-9ADD-4BD7-B517-069178D9D44EQ48178639-D94F336D-73A0-4CD4-B045-C2DA7D90127FQ48657615-786575CF-D568-41EB-A8D7-F0769D367CADQ50560530-4E4D1AA6-6AAF-4C2C-BE38-B1D5F44E47E0Q50571683-BF7AFB84-FE48-4BE6-98AB-E229B821C45CQ50690449-AF8B9833-D357-436F-9D2D-FBEDF9B8C48FQ52327340-D6531DD0-94AC-49FF-B466-580E79962042Q52655398-719C6092-574D-4AE7-AE63-DD248E6EB2B5Q58723750-C9F8A2B1-B9B3-43BC-A824-D4D6423CABD5
P2860
Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.
@en
type
label
Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.
@en
prefLabel
Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.
@en
P2860
P1476
Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience
@en
P2093
Rachel Nicks
P2860
P2888
P356
10.1186/S13408-015-0033-6
P577
2016-01-06T00:00:00Z
P5875
P6179
1010271278
P698
P818
1506.05828