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2. Development of a real-time motor-imagery-based EEG brain-machine interfaceGal Gorjup, Rok Vrabič, Stoyan Petrov Stoyanov, Morten Østergaard Andersen, Poramate Manoonpong, 2018, objavljeni znanstveni prispevek na konferenci Ključne besede: electroencephalography, brain-machine interface, brain-computer interface, motor imagery, digital filtering, feature extraction, classification Celotno besedilo (datoteka, 10,69 MB) Gradivo ima več datotek! Več... |
3. Computational modeling of electroencephalography and functional magnetic resonance imaging paradigms indicates a consistent loss of pyramidal cell synaptic gain in schizophreniaRick Adams, Grega Repovš, 2022, izvirni znanstveni članek Ključne besede: computational modeling, electroencephalography EEG, functional magnetic resonance imaging fMRI, mismatch negativity, psychosis, resting state, schizophrenia, auditory steady-state, dynamic causal model Celotno besedilo (datoteka, 2,10 MB) Gradivo ima več datotek! Več... |
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5. Evaluation and comparison of most prevalent artifact reduction methods for EEG acquired simultaneously with fMRIAleksij Kraljič, Andraž Matkovič, Nina Purg, Jure Demšar, Grega Repovš, 2022, izvirni znanstveni članek Ključne besede: electroencephalography EEG, functional magnetic resonance imaging fMRI, neurosciences, neuroimaging, brain, methodology, EEG-fMRI, carbon-wire loop, ballistocardiogram, MR artifacts, EEG preprocessing, imaging artifact, Bayesian statistics in neuroscience Celotno besedilo (datoteka, 2,63 MB) Gradivo ima več datotek! Več... |
6. Dense attention network identifies EEG abnormalities during working memory performance of patients with schizophreniaRuben Perellón Alfonso, Aleš Oblak, Matija Kuclar, Blaž Škrlj, Borut Škodlar, Peter Pregelj, Grega Repovš, Jurij Bon, 2023, izvirni znanstveni članek Ključne besede: schizophrenia, working memory, contralateral delay negativity, electroencephalography EEG, dense attention network DAN Celotno besedilo (datoteka, 3,26 MB) Gradivo ima več datotek! Več... |