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Estimation of effective connectivity via data-driven neural modeling.Seizure Prediction: Science Fiction or Soon to Become Reality?Bursts of seizures in long-term recordings of human focal epilepsy.A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature DiscoveryA forward-looking review of seizure prediction.Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity.Human focal seizures are characterized by populations of fixed duration and interval.Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.The circadian profile of epilepsy improves seizure forecasting.Are the days of counting seizures numbered?Does accounting for seizure frequency variability increase clinical trial power?Bifurcation analysis of two coupled Jansen-Rit neural mass models.Simulating Clinical Trials With and Without Intracranial EEG Data.Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEGSeizure pathways: A model-based investigationLoss of neuronal network resilience precedes seizures and determines the ictogenic nature of interictal synaptic perturbationsCircadian and circaseptan rhythms in human epilepsy: a retrospective cohort studyPostictal suppression and seizure durations: A patient‐specific, long‐term iEEG analysisMethods for the Detection of Seizure Bursts in EpilepsyForecasting cycles of seizure likelihoodEnsembling crowdsourced seizure prediction algorithms using long-term human intracranial EEGWhen can we trust responders? Serious concerns when using 50% response rate to assess clinical trials
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description
researcher ORCID ID = 0000-0002-9879-5854
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wetenschapper
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name
Philippa J Karoly
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Philippa J Karoly
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Philippa J Karoly
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type
label
Philippa J Karoly
@ast
Philippa J Karoly
@en
Philippa J Karoly
@nl
prefLabel
Philippa J Karoly
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Philippa J Karoly
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Philippa J Karoly
@nl
P106
P31
P496
0000-0002-9879-5854