@CONFERENCE{MTMT:34551903,
	title = {The effect of the applied visual stimuli with different level of complexity on audiovisual equivalence learning},
	url = {https://m2.mtmt.hu/api/publication/34551903},
	author = {Tót, Kálmán and Eördegh, Gabriella and Bátor, Brassó and Harcsa-Pintér, Noémi and Kiss, Ádám and Bodosi, Balázs and Kelemen, András and Nagy, Attila},
	booktitle = {International Neuroscience Conference, Pécs 2024},
	unique-id = {34551903},
	abstract = {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.},
	year = {2024},
	pages = {196-196},
	orcid-numbers = {Tót, Kálmán/0000-0002-7641-7182; Eördegh, Gabriella/0000-0002-3707-3583; Kiss, Ádám/0000-0003-2597-7953}
}

@CONFERENCE{MTMT:34551651,
	title = {Blink rate extraction from EEG recording},
	url = {https://m2.mtmt.hu/api/publication/34551651},
	author = {Kiss, Ádám and Kelemen, András and Nagy, Attila},
	booktitle = {7th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Post-Docs (HUNDOC) Booklet},
	unique-id = {34551651},
	abstract = {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.},
	year = {2024},
	pages = {57-57},
	orcid-numbers = {Kiss, Ádám/0000-0003-2597-7953}
}

@CONFERENCE{MTMT:34551634,
	title = {The effect of semantic meanings on audiovisual equivalence learning},
	url = {https://m2.mtmt.hu/api/publication/34551634},
	author = {Tót, Kálmán and Eördegh, Gabriella and Harcsa-Pintér, Noémi and Kiss, Ádám and Bátor, Brassó and Kelemen, András and Nagy, Attila},
	booktitle = {7th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Post-Docs (HUNDOC) Booklet},
	unique-id = {34551634},
	abstract = {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.},
	year = {2024},
	pages = {110-110},
	orcid-numbers = {Tót, Kálmán/0000-0002-7641-7182; Eördegh, Gabriella/0000-0002-3707-3583; Kiss, Ádám/0000-0003-2597-7953}
}

@article{MTMT:34397574,
	title = {Visually evoked local field potential changes in the caudate nucleus are remarkably more frequent in awake, behaving cats than in anaesthetized animals},
	url = {https://m2.mtmt.hu/api/publication/34397574},
	author = {Nyujtó, Diána and Kiss, Ádám and Bodosi, Balázs and Eördegh, Gabriella and Tót, Kálmán and Kelemen, András and Nagy, Attila},
	doi = {10.1556/2060.2023.00240},
	journal-iso = {PHYSIOL INT},
	journal = {PHYSIOLOGY INTERNATIONAL},
	volume = {111},
	unique-id = {34397574},
	issn = {2498-602X},
	year = {2024},
	eissn = {2677-0164},
	pages = {47-62},
	orcid-numbers = {Kiss, Ádám/0000-0003-2597-7953; Eördegh, Gabriella/0000-0002-3707-3583; Tót, Kálmán/0000-0002-7641-7182}
}

@article{MTMT:34177906,
	title = {Automated preprocessing of 64 channel electroenchephalograms recorded by biosemi instruments},
	url = {https://m2.mtmt.hu/api/publication/34177906},
	author = {Kiss, Ádám and Huszár, Olívia Mária and Bodosi, Balázs and Eördegh, Gabriella and Tót, Kálmán and Nagy, Attila and Kelemen, András},
	doi = {10.1016/j.mex.2023.102378},
	journal-iso = {METHODSX},
	journal = {METHODSX},
	volume = {11},
	unique-id = {34177906},
	abstract = {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.},
	year = {2023},
	eissn = {2215-0161},
	orcid-numbers = {Kiss, Ádám/0000-0003-2597-7953; Eördegh, Gabriella/0000-0002-3707-3583; Tót, Kálmán/0000-0002-7641-7182}
}

@inproceedings{MTMT:34044037,
	title = {BBC micro:bittel vezérelt kinematikai mérések kiértékelése MS Excel-bővítménnyel},
	url = {https://m2.mtmt.hu/api/publication/34044037},
	author = {Somogyi, Anikó and Kelemen, András and Mellár, János Zsolt and Mingesz, Róbert Zoltán},
	booktitle = {Infodidact 2022},
	unique-id = {34044037},
	year = {2023},
	pages = {281-299},
	orcid-numbers = {Mellár, János Zsolt/0000-0003-2537-7309; Mingesz, Róbert Zoltán/0000-0002-4817-5948}
}

@inbook{MTMT:34038141,
	title = {Az MRC-100 műholdon repülő kettes számú SZTE-s modul mérései [Experiments on the second payload of SZTE on the MRC-100 satellite]},
	url = {https://m2.mtmt.hu/api/publication/34038141},
	author = {Kiss, Ádám and Antal, Levente and Südi, Tamás and Kelemen, András},
	booktitle = {Móra Akadémia Szakkollégiumi tanulmánykötet},
	unique-id = {34038141},
	abstract = {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.},
	keywords = {jitter; SATELLITE; Analog-digital converter; analog-digital converter (ADC); MRC-100},
	year = {2023},
	pages = {37-43},
	orcid-numbers = {Kiss, Ádám/0000-0003-2597-7953}
}

@CONFERENCE{MTMT:33620734,
	title = {Automated eye-blink artefact removal from electroencephalogram (EEG) recordings using image processing techniques},
	url = {https://m2.mtmt.hu/api/publication/33620734},
	author = {Olívia, Mária Huszár and Kiss, Ádám and Kelemen, András and Tót, Kálmán and Eördegh, Gabriella and Nagy, Attila},
	booktitle = {6th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Postdoc},
	unique-id = {33620734},
	abstract = {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.},
	year = {2023},
	pages = {102-102},
	orcid-numbers = {Kiss, Ádám/0000-0003-2597-7953; Tót, Kálmán/0000-0002-7641-7182; Eördegh, Gabriella/0000-0002-3707-3583}
}

@CONFERENCE{MTMT:33620730,
	title = {A grounding model for LFP measurements in anesthetized cat experiments},
	url = {https://m2.mtmt.hu/api/publication/33620730},
	author = {Kiss, Ádám and Tót, Kálmán and Nagy, Attila and Kelemen, András},
	booktitle = {6th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Postdoc},
	unique-id = {33620730},
	abstract = {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.},
	year = {2023},
	pages = {75-75},
	orcid-numbers = {Kiss, Ádám/0000-0003-2597-7953; Tót, Kálmán/0000-0002-7641-7182}
}

@CONFERENCE{MTMT:33620703,
	title = {A custom referencing method for high channel count EEG registrations},
	url = {https://m2.mtmt.hu/api/publication/33620703},
	author = {Kiss, Ádám and Kelemen, András and Tót, Kálmán and Noémi, Harcsa-Pintér and Márk, Horváth and Márton, Gaszner and Olívia, Huszár and Ábel, Marietta and Eördegh, Gabriella and Nagy, Attila},
	booktitle = {Joint Neuroscience Meeting of the Hungarian Neuroscience Society (MITT) & the Austrian Neuroscience Association (ANA)},
	unique-id = {33620703},
	abstract = {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.},
	keywords = {EEG; EEG signal; EEG recorders; EEG signals; electroencephalogram (EEG); EEG artifacts; EEG recordings; EEG signal processing},
	year = {2023},
	pages = {88-88},
	orcid-numbers = {Kiss, Ádám/0000-0003-2597-7953; Tót, Kálmán/0000-0002-7641-7182; Eördegh, Gabriella/0000-0002-3707-3583}
}