Computational model prospective on the observation of proictal states in epileptic neuronal systems.
about
Estimation of brain network ictogenicity predicts outcome from epilepsy surgery.Role of multiple-scale modeling of epilepsy in seizure forecasting.Gap Junctions as Common Cause of High-Frequency Oscillations and Epileptic Seizures in a Computational Cascade of Neuronal Mass and Compartmental Modeling.A critical role for network structure in seizure onset: a computational modeling approach.Mechanisms of intermittent state transitions in a coupled heterogeneous oscillator model of epilepsy.Reactive control of epileptiform discharges in realistic computational neuronal models with bistability.Preventive and Abortive Strategies for Stimulation Based Control of Epilepsy: A Computational Model Study.Multiple oscillatory states in models of collective neuronal dynamics.Dynamics of collective multi-stability in models of multi-unit neuronal systems.
P2860
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P2860
Computational model prospective on the observation of proictal states in epileptic neuronal systems.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Computational model prospectiv ...... in epileptic neuronal systems.
@en
Computational model prospectiv ...... in epileptic neuronal systems.
@nl
type
label
Computational model prospectiv ...... in epileptic neuronal systems.
@en
Computational model prospectiv ...... in epileptic neuronal systems.
@nl
prefLabel
Computational model prospectiv ...... in epileptic neuronal systems.
@en
Computational model prospectiv ...... in epileptic neuronal systems.
@nl
P2093
P1433
P1476
Computational model prospectiv ...... in epileptic neuronal systems
@en
P2093
Demetrios Velis
F Lopes da Silva
Marcus Koppert
P304
P356
10.1016/J.YEBEH.2011.08.017
P478
22 Suppl 1
P577
2011-12-01T00:00:00Z