@article{MTMT:33651637,
	title = {Seeing beyond the spikes: reconstructing the complete spatiotemporal membrane potential distribution from paired intra- and extracellular recordings},
	url = {https://m2.mtmt.hu/api/publication/33651637},
	author = {Meszéna, Domokos and Barlay, Anna and Boldog, Péter Tamás and Furuglyás, Kristóf and Cserpán, Dorottya and Wittner, Lucia and Ulbert, István and Somogyvári, Zoltán},
	doi = {10.1113/JP283550},
	journal-iso = {J PHYSIOL-LONDON},
	journal = {JOURNAL OF PHYSIOLOGY-LONDON},
	volume = {601},
	unique-id = {33651637},
	issn = {0022-3751},
	year = {2023},
	eissn = {1469-7793},
	pages = {3351-3376},
	orcid-numbers = {Meszéna, Domokos/0000-0003-4042-2542; Wittner, Lucia/0000-0001-6800-0953; Ulbert, István/0000-0001-9941-9159}
}

@article{MTMT:33271235,
	title = {Multi frequency band fusion method for EEG signal classification},
	url = {https://m2.mtmt.hu/api/publication/33271235},
	author = {Wahdow, Moutz and Alnaanah, Mahmoud and Fadel, Ward and Adolf, András and Köllőd, Csaba Márton and Ulbert, István},
	doi = {10.1007/s11760-022-02399-6},
	journal-iso = {SIGNAL IMAGE VIDEO PROCES},
	journal = {SIGNAL IMAGE AND VIDEO PROCESSING},
	volume = {17},
	unique-id = {33271235},
	issn = {1863-1703},
	abstract = {This paper proposes a novel convolutional neural network (CNN) fusion method for electroencephalography (EEG) motor imagery (MI) signal classification. The method is named MFBF, which stands for multifrequency band fusion. The MFBF method relies on filtering the input signal with different frequency bands and feeding each band signal to a duplicate of a CNN model; then, all duplicates are concatenated to form a fusion model. This paper also introduces the second release of Coleeg software, which is used for evaluation. The MFBF method has the advantage of the flexibility of choosing any model and any number of frequency bands. In the experimental evaluation, the CNN1D model and three frequency bands were used to form the CNN1D_MFBF model, and it was evaluated against the EEGNet_fusion model on three different datasets, which are: Physionet, BCI competition IV-2a, and a dataset from the Hungarian Academy of Sciences Research Centre for Natural Sciences (MTA-TTK). The CNN1D_MFBF model had comparable or better accuracy results with less than one-fifth of the training time, which is a significant advantage for the proposed method.},
	year = {2023},
	eissn = {1863-1711},
	pages = {1883-1887},
	orcid-numbers = {Köllőd, Csaba Márton/0000-0003-3817-6709; Ulbert, István/0000-0001-9941-9159}
}

@inproceedings{MTMT:34030729,
	title = {Classification of Semi-Automated Labeled MindRove Armband Recorded EMG Data},
	url = {https://m2.mtmt.hu/api/publication/34030729},
	author = {Köllőd, Csaba Márton and Eftimiu, Nikomidisz Jorgosz and Márton, Gergely and Ulbert, István},
	booktitle = {IEEE Joint 22nd International Symposium on COMPUTATIONAL INTELLIGENCE and INFORMATICS and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo 2022)},
	doi = {10.1109/CINTI-MACRo57952.2022.10029540},
	unique-id = {34030729},
	year = {2022},
	pages = {000381-000386},
	orcid-numbers = {Köllőd, Csaba Márton/0000-0003-3817-6709; Ulbert, István/0000-0001-9941-9159}
}

@misc{MTMT:33655408,
	title = {The role of superficial and deep layers in the generation of high frequency oscillations in the human epileptic cortex},
	url = {https://m2.mtmt.hu/api/publication/33655408},
	author = {Daniel, Fabo and Virag, Bokodi and Emilia, Tóth and Johanna-Petra, Szabó and Pariya, Salami and Corey, J. Keller and Boglárka, Hajnal and Thomas, Thesen and Orrin, Devinsky and Werner, Doyle and Ashesh, Mehta and Joseph, Madsen and Emad, Eskandar and Erőss, Loránd and Ulbert, István and Eric, Halgren and Sydney, S. Cash},
	doi = {10.21203/rs.3.rs-1584537/v1},
	unique-id = {33655408},
	year = {2022},
	orcid-numbers = {Erőss, Loránd/0000-0002-5796-5546; Ulbert, István/0000-0001-9941-9159}
}

@inproceedings{MTMT:33631899,
	title = {A surface electromyography dataset for hand gesture recognition},
	url = {https://m2.mtmt.hu/api/publication/33631899},
	author = {Nikomidisz, Eftimiu and Köllőd, Csaba Márton and Ulbert, István and Márton, Gergely},
	booktitle = {IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY 2022)},
	doi = {10.1109/SISY56759.2022.10036305},
	unique-id = {33631899},
	year = {2022},
	pages = {115-120},
	orcid-numbers = {Köllőd, Csaba Márton/0000-0003-3817-6709; Ulbert, István/0000-0001-9941-9159}
}

@{MTMT:33370939,
	title = {Idegtudományi kutatási adatok archiválása a CONCORDA magyar adatrepozitóriumba},
	url = {https://m2.mtmt.hu/api/publication/33370939},
	author = {Fiáth, Richárd},
	booktitle = {A kutatásiadat-kezelés gyakorlata: Bevett eljárások és kísérleti projektek},
	unique-id = {33370939},
	year = {2022},
	pages = {15-38},
	orcid-numbers = {Fiáth, Richárd/0000-0001-8732-2691}
}

@article{MTMT:33252960,
	title = {Sharp-wave ripple doublets induce complex dendritic spikes in parvalbumin interneurons in vivo},
	url = {https://m2.mtmt.hu/api/publication/33252960},
	author = {Judák, Linda and Chiovini, Balázs and Juhász, Gábor and Pálfi, Dénes and Mezriczky, Zsolt and Szadai, Zoltán and Katona, Gergely and Szmola, Benedek and Ócsai, Katalin and Martinecz, Bernadett and Mihály, Anna and Dénes, Ádám and Kerekes, Bálint and Szepesi, Áron and Szalay, Gergely and Ulbert, István and Mucsi, Zoltán and Roska, Botond and Rózsa J., Balázs},
	doi = {10.1038/s41467-022-34520-1},
	journal-iso = {NAT COMMUN},
	journal = {NATURE COMMUNICATIONS},
	volume = {13},
	unique-id = {33252960},
	issn = {2041-1723},
	abstract = {Neuronal plasticity has been shown to be causally linked to coincidence detection through dendritic spikes (dSpikes). We demonstrate the existence of SPW-R-associated, branch-specific, local dSpikes and their computational role in basal dendrites of hippocampal PV+ interneurons in awake animals. To measure the entire dendritic arbor of long thin dendrites during SPW-Rs, we used fast 3D acousto-optical imaging through an eccentric deep-brain adapter and ipsilateral local field potential recording. The regenerative calcium spike started at variable, NMDA-AMPA-dependent, hot spots and propagated in both direction with a high amplitude beyond a critical distance threshold (~150 µm) involving voltage-gated calcium channels. A supralinear dendritic summation emerged during SPW-R doublets when two successive SPW-R events coincide within a short temporal window (~150 ms), e.g., during more complex association tasks, and generated large dSpikes with an about 2.5-3-fold amplitude increase which propagated down to the soma. Our results suggest that these doublet-associated dSpikes can work as a dendritic-level temporal and spatial coincidence detector during SPW-R-related network computation in awake mice.},
	year = {2022},
	eissn = {2041-1723},
	orcid-numbers = {Juhász, Gábor/0000-0001-6912-5109; Ulbert, István/0000-0001-9941-9159; Mucsi, Zoltán/0000-0003-3224-8847; Roska, Botond/0000-0002-9559-1450}
}

@article{MTMT:33226625,
	title = {The sleep EEG envelope is a novel, neuronal firing-based human biomarker},
	url = {https://m2.mtmt.hu/api/publication/33226625},
	author = {Ujma, Przemyslaw Péter and Dresler, Martin and Simor, Péter Dániel and Fabó, Dániel and Ulbert, István and Erőss, Loránd and Bódizs, Róbert},
	doi = {10.1038/s41598-022-22255-4},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {12},
	unique-id = {33226625},
	issn = {2045-2322},
	abstract = {Sleep EEG reflects voltage differences relative to a reference, while its spectrum reflects its composition of various frequencies. In contrast, the envelope of the sleep EEG reflects the instantaneous amplitude of oscillations, while its spectrum reflects the rhythmicity of the occurrence of these oscillations. The sleep EEG spectrum is known to relate to demographic, psychological and clinical characteristics, but the envelope spectrum has been rarely studied. In study 1, we demonstrate in human invasive data from cortex-penetrating microelectrodes and subdural grids that the sleep EEG envelope spectrum reflects neuronal firing. In study 2, we demonstrate that the scalp EEG envelope spectrum is stable within individuals. A multivariate learning algorithm could predict age (r = 0.6) and sex (r = 0.5) from the EEG envelope spectrum. With age, oscillations shifted from a 4–5 s rhythm to faster rhythms. Our results demonstrate that the sleep envelope spectrum is a promising biomarker of demographic and disease-related phenotypes.},
	year = {2022},
	eissn = {2045-2322},
	orcid-numbers = {Ujma, Przemyslaw Péter/0000-0002-7981-3009; Simor, Péter Dániel/0000-0003-0695-166X; Fabó, Dániel/0000-0001-5141-5351; Ulbert, István/0000-0001-9941-9159; Erőss, Loránd/0000-0002-5796-5546; Bódizs, Róbert/0000-0001-5341-060X}
}

@article{MTMT:33106549,
	title = {Modern technológiák az idegtudományban - Gyorsítsuk a sejtválogatást},
	url = {https://m2.mtmt.hu/api/publication/33106549},
	author = {Fiáth, Richárd},
	journal-iso = {ÉLET ÉS TUDOMÁNY},
	journal = {ÉLET ÉS TUDOMÁNY},
	volume = {LXXVII},
	unique-id = {33106549},
	issn = {0013-6077},
	year = {2022},
	pages = {1200-1201},
	orcid-numbers = {Fiáth, Richárd/0000-0001-8732-2691}
}

@article{MTMT:33075628,
	title = {A humán agykéreg elektromos ingerlésével kiváltott válaszok alatti lokális hálózati és egysejt-szintű aktivitásváltozásainak vizsgálata},
	url = {https://m2.mtmt.hu/api/publication/33075628},
	author = {Hajnal, Boglárka Zsófia and Entz, László and Tóth, Emília and Wittner, Lucia and Ulbert, István and Erőss, Loránd and Fabó, Dániel},
	journal-iso = {IDEGGYÓGY SZEMLE PROC},
	journal = {IDEGGYÓGYÁSZATI SZEMLE PROCEEDINGS / CLINICAL NEUROSCIENCE PROCEEDINGS},
	volume = {7},
	unique-id = {33075628},
	issn = {2498-6240},
	year = {2022},
	pages = {18},
	orcid-numbers = {Wittner, Lucia/0000-0001-6800-0953; Ulbert, István/0000-0001-9941-9159; Erőss, Loránd/0000-0002-5796-5546; Fabó, Dániel/0000-0001-5141-5351}
}