TY - CONF AU - Tót, Kálmán AU - Eördegh, Gabriella AU - Bátor, Brassó AU - Harcsa-Pintér, Noémi AU - Kiss, Ádám AU - Bodosi, Balázs AU - Kelemen, András AU - Nagy, Attila TI - The effect of the applied visual stimuli with different level of complexity on audiovisual equivalence learning T2 - International Neuroscience Conference, Pécs 2024 PY - 2024 SP - 196 EP - 196 PG - 1 UR - https://m2.mtmt.hu/api/publication/34551903 ID - 34551903 N1 - Supported by SZTE SZAOK- KKA-SZGYA Grant No.:2023/5S479 AB - The Rutgers Acquired Equivalence Test (RAET) is a learning task, where the subjects learn visual stimuli pairs, and after the learning, they have to retrieve and generalize the previously learned as- sociations. We developed three audiovisual equivalence learning tests with the same structure, in which the antecedents were the same four different distinguishable sounds, but the consequents differed in complexity and semantic meanings. In the SoundFace test the consequents were four drawn faces, in the SoundFish four different colored fish (all same in size and shape), and in the SoundPolygon test blank geometric shapes. In the present study we compared the psychophysi- cal performances of 52 healthy volunteers between the three audiovisual tests. We asked whether there is any difference between the performances when visual stimuli differ in complexity and se- mantic meanings. In all parts (learning, retrieval and generalization) of the tests, the performance was significantly better in the SoundFace test compared to the other two, but there was no signifi- cant difference between the SoundFish and SoundPolygon. Our results suggest that the color infor- mation alone could not significantly enhance the effectiveness of the associative learning. However, the verbalizability of individual features of the visual stimuli seem to determine primarily the perfor- mances in associative equivalence learning. LA - English DB - MTMT ER - TY - CONF AU - Kiss, Ádám AU - Kelemen, András AU - Nagy, Attila TI - Blink rate extraction from EEG recording T2 - 7th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Post-Docs (HUNDOC) Booklet PY - 2024 SP - 57 EP - 57 PG - 1 UR - https://m2.mtmt.hu/api/publication/34551651 ID - 34551651 N1 - The study was supported by the SZTE SZAOK-KKA-SZGYA (No. 2023/5S479) grant from University of Szeged. AB - EEG recordings include many components, such as EMG or blink components. In classical processing these are excluded, however, they may contain additional incomes. A possible side-channel information is the blink rate. A possible extraction of it is presented in this paper. LA - English DB - MTMT ER - TY - CONF AU - Tót, Kálmán AU - Eördegh, Gabriella AU - Harcsa-Pintér, Noémi AU - Kiss, Ádám AU - Bátor, Brassó AU - Kelemen, András AU - Nagy, Attila TI - The effect of semantic meanings on audiovisual equivalence learning T2 - 7th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Post-Docs (HUNDOC) Booklet PY - 2024 SP - 110 EP - 110 PG - 1 UR - https://m2.mtmt.hu/api/publication/34551634 ID - 34551634 N1 - The study was supported by the SZTE SZAOK-KKA-SZGYA (No. 2023/5S479) grant from University of Szeged AB - Equivalence learning is a type of associative learning, where the person learns that two stimuli are linked and they are equivalent with each other, if they share the same outcome, and this equivalence can be generalized to new instances. The Rutgers Acquired Equivalence Test (RAET) is a visual learning task to investigate this kind of learning. Based on the test we developed three audiovisual equivalence learning tests with the same structure. In all three tests the antecedents are the same four sound stimuli, but the consequents are visual stimuli with different complexity and semantic meanings. Our question is whether the semantic meanings affect the performances in the learning tests. The results of our research with healthy volunteers showed that if more semantic label corresponds to the applied visual stimuli, it leads to better performances in the learning test. LA - English DB - MTMT ER - TY - JOUR AU - Nyujtó, Diána AU - Kiss, Ádám AU - Bodosi, Balázs AU - Eördegh, Gabriella AU - Tót, Kálmán AU - Kelemen, András AU - Nagy, Attila TI - Visually evoked local field potential changes in the caudate nucleus are remarkably more frequent in awake, behaving cats than in anaesthetized animals JF - PHYSIOLOGY INTERNATIONAL J2 - PHYSIOL INT VL - 111 PY - 2024 IS - 1 SP - 47 EP - 62 PG - 16 SN - 2498-602X DO - 10.1556/2060.2023.00240 UR - https://m2.mtmt.hu/api/publication/34397574 ID - 34397574 N1 - Rögzítés lektorálást igazoló befogadó nyilatkozat alapján, benyújtott verzió REAL-ba feltöltve. (BCS, SZTE admin4, 2023-12-05) LA - English DB - MTMT ER - TY - JOUR AU - Kiss, Ádám AU - Huszár, Olívia Mária AU - Bodosi, Balázs AU - Eördegh, Gabriella AU - Tót, Kálmán AU - Nagy, Attila AU - Kelemen, András TI - Automated preprocessing of 64 channel electroenchephalograms recorded by biosemi instruments JF - METHODSX J2 - METHODSX VL - 11 PY - 2023 PG - 7 SN - 2215-0161 DO - 10.1016/j.mex.2023.102378 UR - https://m2.mtmt.hu/api/publication/34177906 ID - 34177906 AB - Preprocessing is a mandatory step in electroencephalogram (EEG) signal analysis. Overcoming challenges posed by high noise levels and substantial amplitude artifacts, such as blink-induced electrooculogram (EOG) and muscle-related electromyogram (EMG) interference, is imperative. The signal-to-noise ratio significantly influences the reliability and statistical significance of subsequent analyses. Existing referencing approaches employed in multi-card systems, like using a single electrode or averaging across multiple electrodes, fall short in this respect. In this article, we introduce an innovative referencing method tailored to multi-card instruments, enhancing signal fidelity and analysis outcomes. Our proposed signal processing loop not only mitigates blink-related artifacts but also accurately identifies muscle activity. This work contributes to advancing EEG analysis by providing a robust solution for artifact removal and enhancing data integrity. LA - English DB - MTMT ER - TY - CHAP AU - Somogyi, Anikó AU - Kelemen, András AU - Mellár, János Zsolt AU - Mingesz, Róbert Zoltán ED - Szlávi, Péter ED - Zsakó, László TI - BBC micro:bittel vezérelt kinematikai mérések kiértékelése MS Excel-bővítménnyel T2 - Infodidact 2022 PB - Webdidaktika Alapítvány CY - Budapest SN - 9786158060868 PY - 2023 SP - 281 EP - 299 PG - 19 UR - https://m2.mtmt.hu/api/publication/34044037 ID - 34044037 N1 - https://people.inf.elte.hu/szlavi/InfoDidact22/Infodidact2022.pdf LA - Hungarian DB - MTMT ER - TY - CHAP AU - Kiss, Ádám AU - Antal, Levente AU - Südi, Tamás AU - Kelemen, András ED - Béla, Bálint ED - Vass, Viktória ED - Vass, Zóra TI - Az MRC-100 műholdon repülő kettes számú SZTE-s modul mérései [Experiments on the second payload of SZTE on the MRC-100 satellite] T2 - Móra Akadémia Szakkollégiumi tanulmánykötet PB - Szegedi Tudományegyetem Móra Ferenc Szakkollégium CY - Szeged T3 - Szakkollégiumi Füzetek - Móra Akadémia, ISSN 2064-809X ; 12.. PY - 2023 SP - 37 EP - 43 PG - 7 UR - https://m2.mtmt.hu/api/publication/34038141 ID - 34038141 AB - In 2023 the Budapest University of Technology and Economics (for the anniversary of its Amateur Radio Club) launches its next satellite, the MRC-100. Generously they offered several Hungarian universities the opportunity to place their payloads on the satellite. Two modules of the University of Szeged were onboard. Other than a department-related one, a group of students also developed a circuit. This module contained several experiments described in this paper. LA - Hungarian DB - MTMT ER - TY - CONF AU - Olívia, Mária Huszár AU - Kiss, Ádám AU - Kelemen, András AU - Tót, Kálmán AU - Eördegh, Gabriella AU - Nagy, Attila TI - Automated eye-blink artefact removal from electroencephalogram (EEG) recordings using image processing techniques T2 - 6th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Postdoc PY - 2023 SP - 102 EP - 102 PG - 1 UR - https://m2.mtmt.hu/api/publication/33620734 ID - 33620734 AB - Introduction: Cortical electrical activity is captured by electroencephalogram (EEG) measurements. It can be beneficial for a deeper understanding of many neurological and psychiatric disorders. Our research focuses on eye-blink artefact removal and automated filtering during the pre-processing of EEG recordings that were taken on both healthy people and neurological or psychiatric patients. Methods: In order to identify the origin of the eye-blink artefact on topoplots, independent component analysis (ICA) was first applied. These artefact components from the topoplots, which primary source is in the frontal lobe, have to be removed in the following stages. With this selection, the position of the source as well as the direction of the frontlines originating from the source were both taken into consideration. This was accomplished by implementing image processing techniques. Results: Our method allowed the objective filtering of eye-blink components and their automated elimination in the open-source MNE-Python environment, which is able to see and analyze neurophysiological data, without the arbitrary setting of subjective thresholds. 60 EEG samples were used to test the program, and of them, 44 (73.3%) had all undesired artefacts totally eliminated. In the remaining recordings, blinking was only partially filtered out in 11 instances (18.3%) and the program made a mistake in choosing the right noise component in 5 instances (8.3%). Discussion: According to our first results, the method's basic idea is acceptable, and the software can be usable, but it still needs to be improved. We want to increase the efficiency of the current software to at least 90%. We think that by using our software, we can process EEG signals much more quickly and minimize subjective inaccuracies brought on by the previously partly manual pre-processing. LA - English DB - MTMT ER - TY - CONF AU - Kiss, Ádám AU - Tót, Kálmán AU - Nagy, Attila AU - Kelemen, András TI - A grounding model for LFP measurements in anesthetized cat experiments T2 - 6th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Postdoc PY - 2023 SP - 75 EP - 75 PG - 1 UR - https://m2.mtmt.hu/api/publication/33620730 ID - 33620730 AB - Measuring electrophysiological recordings from inside the brain is mandatory for several hypothesis checkings. Having low amplitude levels and a non-ideal amplifier sets other signal sources could highly interfere with the measure targets, especially when they make the amplifier clip. A possible source of these noises is non-suppressed common-mode noises. They could decrease either by enhancing the amplifying instrument or providing a lower impedance direction for the causing energy. As the subject is not a perfect electric conductor, a simple ground clip might not be enough for this purpose. In this presentation, a model will be shown and a possible solution from the model with its results. LA - English DB - MTMT ER - TY - CONF AU - Kiss, Ádám AU - Kelemen, András AU - Tót, Kálmán AU - Noémi, Harcsa-Pintér AU - Márk, Horváth AU - Márton, Gaszner AU - Olívia, Huszár AU - Ábel, Marietta AU - Eördegh, Gabriella AU - Nagy, Attila TI - A custom referencing method for high channel count EEG registrations T2 - Joint Neuroscience Meeting of the Hungarian Neuroscience Society (MITT) & the Austrian Neuroscience Association (ANA) PY - 2023 SP - 88 EP - 88 PG - 1 UR - https://m2.mtmt.hu/api/publication/33620703 ID - 33620703 AB - EEG referencing is a mandatory step in the signal-processing chain. Without it, the common-mode rejection ratio could reduce up to 40 dB. With a high count of channels, the amplification and acquisition module will often have multiple identical modules, each with its wiring. Having so will change the electromagnetic balances leading the classical rereference methods to be insufficient. Furthermore, blink removal algorithms could have a different axis than the asymmetry of the instrument. In this case, the two algorithms may interfere. A possible solution for this interference in Biosemi 64-channel systems is an alternating reference-blink correction progress. The results of the implementation are presented in this poster. LA - English DB - MTMT ER -