2023
An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory
Melloni L, Mudrik L, Pitts M, Bendtz K, Ferrante O, Gorska U, Hirschhorn R, Khalaf A, Kozma C, Lepauvre A, Liu L, Mazumder D, Richter D, Zhou H, Blumenfeld H, Boly M, Chalmers D, Devore S, Fallon F, de Lange F, Jensen O, Kreiman G, Luo H, Panagiotaropoulos T, Dehaene S, Koch C, Tononi G. An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory. PLOS ONE 2023, 18: e0268577. PMID: 36763595, PMCID: PMC9916582, DOI: 10.1371/journal.pone.0268577.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingGlobal neuronal workspaceConscious visual perceptionIntracranial electroencephalographyVisual consciousnessVisual perceptionConscious experienceBrain activityIntegrated Information TheoryMajor theoriesAdversarial collaborationHuman brainDifferent accountsOpen science practicesStudy protocolMagnetic resonance imagingConsciousnessInformation theoryTheory proponentsTheoryPerceptionResonance imagingElectroencephalographyCorrelatesRelationship
2020
Hybrid EEG–fTCD Brain–Computer Interfaces
Khalaf A, Sejdic E, Akcakaya M. Hybrid EEG–fTCD Brain–Computer Interfaces. Cognitive Science And Technology 2020, 295-314. DOI: 10.1007/978-3-030-34784-0_15.Peer-Reviewed Original ResearchFunctional transcranial Doppler ultrasoundBrain-computer interfaceWord generationBrain activityNoninvasive brain-computer interfaceHybrid brain-computer interfaceMental rotation taskDifferent brain activitiesElectrical brain activityCognitive tasksPresentation paradigmRotation taskVisual stimuliEEG recording deviceLimited speechNovel hybrid brain-computer interfaceNeuroimaging modalitiesPhysical abilityElectroencephalographyTaskComputer interfaceTask problemMI presentationHigh temporal resolutionSpeech
2019
Transfer Learning for a Multimodal Hybrid EEG-fTCD Brain–Computer Interface
Dagois E, Khalaf A, Sejdic E, Akcakaya M. Transfer Learning for a Multimodal Hybrid EEG-fTCD Brain–Computer Interface. IEEE Sensors Letters 2019, 3: 1-4. DOI: 10.1109/lsens.2018.2879466.Peer-Reviewed Original ResearchFunctional transcranial Doppler ultrasoundTransfer learningClass-conditional distributionsQuadratic discriminant analysisLinear discriminant analysisCalibration sessionHybrid BCIConditional probabilistic distributionsBetter classification performanceElectrical brain activityBrain-computer interface (BCI) researchMotor imagery tasksTraining dataDifferent classifiersClassification performanceProbabilistic similarityVector machineImagery tasksComputer interfaceBrain activityControl accessDimensionality reductionFinal classificationBCI systemSpecific tasks