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1
Hardware Powered Ultra Low Latency (HarPULL) Brain-State De..:
, In:
2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)
,
Fedosov, Nikita
;
Nekrasova, Julia
;
Makarova, Milana
... - p. 189-195 , 2023
Link:
https://doi.org/10.1109/CSGB60362.2023.10329831
RT T1 <cTitle>2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)</cTitle>: T1 <Title>Hardware Powered Ultra Low Latency (HarPULL) Brain-State Dependent TMS Technology</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10329831&Exemplar=1&LAN=DE A1 Fedosov, Nikita A1 Nekrasova, Julia A1 Makarova, Milana A1 Shevtsov, Oleg A1 Medvedeva, Daria A1 Ossadtchi, Alexei YR 2023 K1 Phase estimation K1 Rhythm K1 Brain modeling K1 Mathematical models K1 Real-time systems K1 Delays K1 Kalman filters K1 Neurofeedback K1 TMS K1 motor evoked potentials SP 189 OP 195 LK http://dx.doi.org/https://doi.org/10.1109/CSGB60362.2023.10329831 DO https://doi.org/10.1109/CSGB60362.2023.10329831 SF ELIB - SuUB Bremen
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