Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.
about
Creating the feedback loop: closed-loop neurostimulationPrediction of the Seizure Suppression Effect by Electrical Stimulation via a Computational Modeling ApproachA reconfigurable visual-programming library for real-time closed-loop cellular electrophysiology.Disinhibition-induced transitions between absence and tonic-clonic epileptic seizuresImplantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementations.Closed-loop neuroscience and neuroengineering.Seizure Detection and Network Dynamics of Generalized Convulsive Seizures: Towards Rational Designing of Closed-Loop Neuromodulation.
P2860
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P2860
Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.
@en
type
label
Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.
@en
prefLabel
Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.
@en
P2860
P356
P1476
Dynamic control of modeled tonic-clonic seizure states with closed-loop stimulation.
@en
P2093
Bryce Beverlin Ii
P2860
P356
10.3389/FNCIR.2012.00126
P577
2012-01-01T00:00:00Z