Analyzing Neural Time Series Data: Theory and Practice

Oscillatory beta dynamics inform biomarker-driven treatment optimization for Parkinson’s disease

Radcliffe, E. M., Baumgartner, A. J., Kern, D. S., Borno, M. A., Ojemann, S. G., Kramer, D. R., & Thompson, J. A. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00055.2023 · Cited by 28

TMS provokes target-dependent intracranial rhythms across human cortical and subcortical sites

Solomon, E. A., Wang, J. B., Oya, H., Howard, M. A., Trapp, N. T., Uitermarkt, B. D., Boes, A. D., & Keller, C. J. (2024) · Brain stimulation · doi:10.1016/j.brs.2024.05.014 · Cited by 28

Brain electrical activity signatures during performance of the Multisource Interference Task

González-Villar, A. J., & Carrillo‐de‐la‐Peña, M. T. (2017) · Psychophysiology · doi:10.1111/psyp.12843 · Cited by 27

Abnormal approach-related motivation but spared reinforcement learning in MDD: Evidence from fronto-midline Theta oscillations and frontal Alpha asymmetry

Gheza, D., Bakic, J., Baeken, C., Raedt, R. D., & Pourtois, G. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00693-4 · Cited by 29

Deep Review of Machine Learning Techniques on Detection of Drowsiness Using EEG Signal

Phanikrishna, B. V., Prakash, A. J., & Chinara, S. (2021) · IETE Journal of Research · doi:10.1080/03772063.2021.1913070 · Cited by 27

A practical review of electroencephalography’s value to consumer research

McInnes, A. N., Sung, B., & Hooshmand, R. (2022) · International Journal of Market Research · doi:10.1177/14707853221112622 · Cited by 37

Awake ripples enhance emotional memory encoding in the human brain

Zhang, H., Skelin, I., Ma, S., Paff, M. R., Mnatsakanyan, L., Yassa, M. A., Knight, R. T., & Lin, J. J. (2024) · Nature Communications · doi:10.1038/s41467-023-44295-8 · Cited by 31

The GLM-spectrum: A multilevel framework for spectrum analysis with covariate and confound modelling

Quinn, A. J., Atkinson, L. Z., Gohil, C., Kohl, O., Pitt, J., Zich, C., Nobre, A. C., & Woolrich, M. W. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00082 · Cited by 32

The phase of ongoing EEG oscillations predicts the amplitude of peri-saccadic mislocalization

McLelland, D., Lavergne, L., & Rufin Vanrullen, A. (2016) · Scientific Reports · doi:10.1038/srep29335 · Cited by 26

The relationship between non‐verbal systems of number and counting development: a neural signatures approach

Hyde, D. C., Simon, C. E., Berteletti, I., & Mou, Y. (2016) · Developmental Science · doi:10.1111/desc.12464 · Cited by 28

EEG Waveform Analysis of P300 ERP with Applications to Brain Computer Interfaces

Ramele, R., Villar, A. J., & Santos, J. M. (2018) · Brain Sciences · doi:10.3390/brainsci8110199 · Cited by 27

Decoding Subjective Emotional Arousal during a Naturalistic VR Experience from EEG Using LSTMs

Hofmann, S., Klotzsche, F., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2018) · IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) · doi:10.1109/aivr.2018.00026 · Cited by 31

Decoding Selective Attention to Context Memory: An Aging Study

Powell, P. S., Strunk, J., James, T., Polyn, S. M., & Duarte, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.085 · Cited by 29

Mental Simulation of Facial Expressions: Mu Suppression to the Viewing of Dynamic Neutral Face Videos

Karakale, Ö., Moore, M. R., & Kirk, I. J. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00034 · Cited by 24

Simultaneous EEG-NIRS Measurement of the Inferior Parietal Lobule During a Reaching Task With Delayed Visual Feedback

Zama, T., Takahashi, Y., & Shimada, S. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00301 · Cited by 27

Automatic grinding burn recognition based on time-frequency analysis and convolutional neural networks

Hübner, H. B., Duarte, M. A. V., & da Silva, R. B. (2020) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-020-05902-w · Cited by 26

PuPl: an open-source tool for processing pupillometry data

Kinley, I., & Levy, Y. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01717-z · Cited by 26

Time–frequency dynamics of error monitoring in childhood: An EEG study

Morales, S., Bowers, M. E., Leach, S. C., Buzzell, G. A., Fifer, W. P., Elliott, A., & Fox, N. A. (2022) · Developmental Psychobiology · doi:10.1002/dev.22215 · Cited by 26

EEG alpha power predicts the temporal sensitivity of multisensory perception

London, R. E., Benwell, C., Cecere, R., Quak, M., Thut, G., & Talsma, D. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15719 · Cited by 30

Neural basis of implicit motor sequence learning: Modulation of cortical power

Lum, J. A. G., Clark, G. M., Barhoun, P., Hill, A. T., Hyde, C. E., & Wilson, P. H. (2022) · Psychophysiology · doi:10.1111/psyp.14179 · Cited by 27

Connectivity steered graph Fourier transform for motor imagery BCI decoding

Georgiadis, K., Laskaris, N., Nikolopoulos, S., & Kompatsiaris, I. Y. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab21fd · Cited by 26

Windowed multiscale synchrony: modeling time-varying and scale-localized interpersonal coordination dynamics

Likens, A. D., & Wiltshire, T. J. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa130 · Cited by 28

Variable training but not sleep improves consolidation of motor adaptation

Thürer, B., Weber, F. D., Born, J., & Stein, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-34225-w · Cited by 20

Updating the relationship of the Ne/ERN to task-related behavior: A brief review and suggestions for future research

LoTemplio, S. B., Lopes, C. L., McDonnell, A. S., Scott, E. E., Payne, B. R., & Strayer, D. L. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1150244 · Cited by 25

Information Structure

Kaltenböck, G. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198755104.013.18 · Cited by 25

EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis

Roshanaei, M., Norouzi, H., Onton, J., Makeig, S., & Mohammadi, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-86040-9 · Cited by 31

GABA metabolism and its role in gamma‐band oscillatory activity during auditory processing: An MRS and EEG study

Wyss, C., Tse, D. H. Y., Kometer, M., Dammers, J., Achermann, R., Shah, N. J., Kawohl, W., & Neuner, I. (2017) · Human Brain Mapping · doi:10.1002/hbm.23642 · Cited by 26

Using spatiotemporal source separation to identify prominent features in multichannel data without sinusoidal filters

Cohen, M. X. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13727 · Cited by 22

Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo

Nicolaou, N., Malik, A., Daly, I. P., Weaver, J., Hwang, F., Kirke, A., Roesch, E. B., Williams, D. A. H., Miranda, E. R., & Nasuto, S. J. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00502 · Cited by 24

Dorsolateral Striatal proBDNF Improves Reversal Learning by Enhancing Coordination of Neural Activity in Rats

Sun, W., Che, H., Li, J., Tang, D., Liu, X., Liu, W., & An, L. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-02051-9 · Cited by 24

Compromised Behavior and Gamma Power During Working Memory in Cognitively Healthy Individuals With Abnormal CSF Amyloid/Tau

Rochart, R., Liu, Q., Fonteh, A. N., Harrington, M. G., & Arakaki, X. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.574214 · Cited by 28

Decoding chromaticity and luminance from patterns of EEG activity

Sutterer, D., Coia, A. J., Sun, V., et al. (2021) · Psychophysiology · doi:10.1111/psyp.13779 · Cited by 25

Phase-amplitude coupling of ripple activities during seizure evolution with theta phase

Hashimoto, H., Khoo, H. M., Yanagisawa, T., et al. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.03.007 · Cited by 25

Selection for Action: The Medial Frontal Cortex Is an Executive Hub for Stimulus and Response Selection

Asanowicz, D., Panek, B., & Kotlewska, I. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01727 · Cited by 31

Swallowing‐related neural oscillation: an intracranial EEG study

Hashimoto, H., Takahashi, K., Kameda, S., Yoshida, F., Maezawa, H., Oshino, S., Tani, N., Khoo, H. M., Yanagisawa, T., Yoshimine, T., et al. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51344 · Cited by 26

Electrophysiology-Based Closed Loop Optogenetic Brain Stimulation Devices: Recent Developments and Future Prospects

Kumari, L. S., & Kouzani, A. Z. (2022) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2022.3141369 · Cited by 27

Neural correlates of successful costly punishment in the Ultimatum game on a trial-by-trial basis

Mussel, P., Weiss, M. H., Rodrigues, J., Heekeren, H. R., & Hewig, J. S. (2022) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab126 · Cited by 26

An intelligent epilepsy seizure detection system using adaptive mode decomposition of EEG signals

Kumar, G., Chander, S., & Almadhor, A. S. (2022) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-022-01111-9 · Cited by 25

Continuous Decoding of Hand Movement From EEG Signals Using Phase-Based Connectivity Features

Hosseini, S. M., & Shalchyan, V. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.901285 · Cited by 24

Multi-scored sleep databases: how to exploit the multiple-labels in automated sleep scoring

Fiorillo, L., Pedroncelli, D., Agostini, V., Favaro, P., & Faraci, F. D. (2023) · SLEEP · doi:10.1093/sleep/zsad028 · Cited by 25

Individual neurophysiological signatures of spontaneous rhythm processing

Criscuolo, A., Schwartze, M., Henry, M. J., Obermeier, C., & Kotz, S. A. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120090 · Cited by 25

Managing EEG studies: How to prepare and what to do once data collection has begun

Boudewyn, M. A., Erickson, M. A., Winsler, K., Ragland, J. D., Yonelinas, A. P., Frank, M. J., Silverstein, S. M., Gold, J., MacDonald, A. W., Carter, C. S., et al. (2023) · Psychophysiology · doi:10.1111/psyp.14365 · Cited by 26

Dispositional Anxiety and Frontal‐Midline Theta: On the Modulatory Influence of Sex and Situational Threat

Osinsky, R., Karl, C., & Hewig, J. S. (2016) · Journal of Personality · doi:10.1111/jopy.12241 · Cited by 26

Reliability of Measures of N1 Peak Amplitude of the Compound Action Potential in Younger and Older Adults

McClaskey, C. M., Dias, J. W., Dubno, J. R., et al. (2018) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-h-18-0097 · Cited by 25

Joint analysis of frontal theta synchrony and white matter following mild traumatic brain injury

Cavanagh, J. F., Rieger, R. E., Wilson, J. K., Gill, D., Fullerton, L., Brandt, E., & Mayer, A. R. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00171-y · Cited by 28

Adaptive filtering and analysis of EEG signals in the time-frequency domain based on the local entropy

Jadav, G. M., Lerga, J., & Štajduhar, I. (2020) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-020-00667-6 · Cited by 25

Electroencephalography ( Eeg )

Read, G. L., & Innis, I. J. (2017) · The International Encyclopedia of Communication Research Methods · doi:10.1002/9781118901731.iecrm0080 · Cited by 25

Dependency and Valency Approaches

Herbst, T. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198755104.013.12 · Cited by 25

Noun Phrases

Keizer, E. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198755104.013.19 · Cited by 24

Newborns discriminate utterance‐level prosodic contours

Martinez‐Alvarez, A., Benavides‐Varela, S., Lapillonne, A., & Gervain, J. (2022) · Developmental Science · doi:10.1111/desc.13304 · Cited by 24

Combining EEG and eye-tracking in virtual reality: Obtaining fixation-onset event-related potentials and event-related spectral perturbations

Nolte, D., Palol, M. V. D., Keshava, A., Madrid-Carvajal, J., Gert, A. L., von Butler, E.-M., Kömürlüoğlu, P., & Peter König, B. (2024) · Attention Perception & Psychophysics · doi:10.3758/s13414-024-02917-3 · Cited by 28

Conserved brain-wide emergence of emotional response from sensory experience in humans and mice

Kauvar, I., Richman, E. B., Liu, T. X., Li, C., Vesuna, S. S., Chibukhchyan, A., Yamada, L., Fogarty, A. S., Solomon, E. A., Choi, E. Y., et al. (2025) · Science · doi:10.1126/science.adt3971 · Cited by 28

Presaccadic EEG activity predicts visual saliency in free‐viewing contour integration

Humbeeck, N. V., Meghanathan, R. N., Wagemans, J. P., van Leeuwen, C., & Nikolaev, A. R. (2018) · Psychophysiology · doi:10.1111/psyp.13267 · Cited by 24

Heartbeat Induces a Cortical Theta-Synchronized Network in the Resting State

Kim, J., & Jeong, B. (2019) · eNeuro · doi:10.1523/eneuro.0200-19.2019 · Cited by 30

Dissociable theta networks underlie the switch and mixing costs during task switching

McKewen, M., Cooper, P. S., Skippen, P., Wong, A. S. W., Michie, P. T., & Karayanidis, F. (2021) · Human Brain Mapping · doi:10.1002/hbm.25573 · Cited by 20

Brain Complexities and Anesthesia: Their Meaning and Measurement

Li, D., Fabus, M. S., & SLEIGH, J. W. (2022) · Anesthesiology · doi:10.1097/aln.0000000000004293 · Cited by 23

Task prioritization modulates alpha, theta and beta EEG dynamics reflecting proactive cognitive control

Liegel, N., Schneider, D. A., Wascher, E., & Arnau, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-19158-9 · Cited by 25

Review on BCI Virtual Rehabilitation and Remote Technology Based on EEG for Assistive Devices

Lazcano-Herrera, A. G., Fuentes-Aguilar, R. Q., Chaírez, I., Alonso-Valerdi, L. M., González-Mendoza, M., & Alfaro-Ponce, M. (2022) · Applied Sciences · doi:10.3390/app122312253 · Cited by 27

Effects of Stimulus Rate and Periodicity on Auditory Cortical Entrainment to Continuous Sounds

Momtaz, S., & Bidelman, G. M. (2024) · eNeuro · doi:10.1523/eneuro.0027-23.2024 · Cited by 24

A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection

Kikumoto, A., Bhandari, A., Shibata, K., & Badre, D. (2024) · Nature Communications · doi:10.1038/s41467-024-52777-6 · Cited by 33

Electrophysiological dynamics of Chinese phonology during visual word recognition in Chinese-English bilinguals

Wen, Y., Filik, R., & van Heuven, W. J. B. (2018) · Scientific Reports · doi:10.1038/s41598-018-25072-w · Cited by 26

Alpha desynchronization during simple working memory unmasks pathological aging in cognitively healthy individuals

Arakaki, X., Lee, R. Y., King, K. S., Fonteh, A. N., & Harrington, M. G. (2019) · PLoS ONE · doi:10.1371/journal.pone.0208517 · Cited by 22

Electrophysiological Correlates of Response Time Variability During a Sustained Attention Task

Machida, K., Murias, M., & Johnson, K. A. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00363 · Cited by 27

NEUROERGONOMICS

Ayaz, H., & Dehais, F. (2021) · Wiley eBooks · doi:10.1002/9781119636113.ch31 · Cited by 26

Alpha desynchronization/synchronization during working memory testing is compromised in acute mild traumatic brain injury (mTBI

Arakaki, X., Shoga, M., Li, L., Zouridakis, G., Tran, T., Fonteh, A. N., Dawlaty, J., Goldweber, R., Pogoda, J. M., & Harrington, M. G. (2018) · PLOS ONE · doi:10.1371/journal.pone.0188101 · Cited by 23

Generative Approaches

Lohndal, T., & Haegeman, L. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198755104.013.11 · Cited by 23

On the Relevance of Posterior and Midfrontal Theta Activity for Visuospatial Attention

Asanowicz, D., Panek, B., Kotlewska, I., & Lubbe, R. H. J. V. D. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02060 · Cited by 25

Role of the occipito-temporal theta rhythm in hand visual identification

Moreau, Q., Parrotta, E., Era, V., Martelli, M., & Candidi, M. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00267.2019 · Cited by 23

Discovering the brain stages of lexical decision: Behavioral effects originate from a single neural decision process

Berberyan, H. S., van Rijn, H., & Borst, J. P. (2021) · Brain and Cognition · doi:10.1016/j.bandc.2021.105786 · Cited by 22

ATR regulates neuronal activity by modulating presynaptic firing

Kırtay, M., Sell, J., Marx, C., Haselmann, H., Ceangă, M., Zhou, Z., Rahmati, V., Kirkpatrick, J. M., Buder, K., Grigaravičius, P., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24217-2 · Cited by 24

Validation of Soft Multipin Dry EEG Electrodes

Heijs, J. J. A., Havelaar, R. J., Fiedler, P., et al. (2021) · Sensors · doi:10.3390/s21206827 · Cited by 23

Mood and gender effects in emotional word processing in unbalanced bilinguals

Naranowicz, M., Jankowiak, K., & Bromberek-Dyzman, K. (2022) · International Journal of Bilingualism · doi:10.1177/13670069221075646 · Cited by 24

Functional neural architecture of cognitive control mediates the relationship between individual differences in bilingual experience and behaviour

Carter, F., DeLuca, V., Segaert, K., Mazaheri, A., & Krott, A. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120085 · Cited by 23

Comparison of online and offline applications of dual-site transcranial alternating current stimulation (tACS) over the pre-supplementary motor area (preSMA) and right inferior frontal gyrus (rIFG) for improving response inhibition

Fujiyama, H., Williams, A., Tan, J., Levin, O., & Hinder, M. R. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108737 · Cited by 24

Theta and alpha oscillatory signatures of auditory sensory and cognitive loads during complex listening

Brilliant, Yaar‐Soffer, Y., Herrmann, C. S., Henkin, Y., & Kral, A. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120546 · Cited by 27

Removal of Transcranial a.c. Current Stimulation artifact from simultaneous EEG recordings by superposition of moving averages

Kohli, S., & Casson, A. J. (2015) · doi:10.1109/embc.2015.7319131 · Cited by 23

Decisions Made with Less Evidence Involve Higher Levels of Corticosubthalamic Nucleus Theta Band Synchrony

Zavala, B., Tan, H., Little, S. J., Ashkan, K., Green, A. L., Aziz, T. Z., Foltynie, T., Zrinzo, L. U., Zaghloul, K. A., & Brown, P. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00934 · Cited by 23

Don’t look, don’t think, just do it! Toward an understanding of alpha gating in a discrete aiming task

Gallicchio, G., & Ring, C. (2018) · Psychophysiology · doi:10.1111/psyp.13298 · Cited by 23

Sad faces increase the heartbeat-associated interoceptive information flow within the salience network: a MEG study

Kim, J., Park, H.-D., Kim, K. W., Shin, D. W., Lim, S., Kwon, H., Kim, M.-Y., Kim, K., & Jeong, B. (2019) · Scientific Reports · doi:10.1038/s41598-018-36498-7 · Cited by 22

Inter-brain Synchronization in the Practice of Tibetan Monastic Debate

van Vugt, M. K., Pollock, J., Johnson, B., Gyatso, K., Norbu, N., Lodroe, T., Gyaltsen, T., Phuntsok, L., Thakchoe, J., Khechok, J., et al. (2020) · Mindfulness · doi:10.1007/s12671-020-01338-1 · Cited by 24

Time-Frequency Delta Activity to Social Feedback Demonstrates Differential Associations With Depression and Social Anxiety Symptoms

Jin, J., Sabharwal, A., Infantolino, Z. P., Jarcho, J. M., & Nelson, B. D. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00189 · Cited by 24

Language contexts modulate instant empathic responses to others’ pain

Wu, Y. J., Liu, Y., Yao, M., Li, X., & Peng, W. (2020) · Psychophysiology · doi:10.1111/psyp.13562 · Cited by 23

Electrophysiological aftereffects of high-frequency transcranial random noise stimulation (hf-tRNS): an EEG investigation

Ghin, F., O’Hare, L., & Pavan, A. (2021) · Experimental Brain Research · doi:10.1007/s00221-021-06142-4 · Cited by 23

Enhancing learning through virtual reality and neurofeedback

Hubbard, R. J., Sipolins, A., & Zhou, L. (2017) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3027385.3027390 · Cited by 25

Load-Dependent Increases in Delay-Period Alpha-Band Power Track the Gating of Task-Irrelevant Inputs to Working Memory

Heinz, A., & Johnson, J. S. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00250 · Cited by 26

Distinct neural markers for intentional and unintentional task unrelated thoughtPreprint

Martel, A., Arvaneh, M., Robertson, I. H., Smallwood, J., & Dockree, P. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/705061 · Cited by 20

Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy

Tauber, J., Brincat, S. L., Stephen, E. P., Donoghue, J., Kozachkov, L., Brown, E. N., & Miller, E. K. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02081 · Cited by 23

Infra-slow fluctuations in cortical potentials and respiration drive fast cortical EEG rhythms in sleeping and waking states

Väyrynen, T., Helakari, H., Korhonen, V. O., Tuunanen, J., Huotari, N., Piispala, J., Kallio, M., Raitamaa, L., Kananen, J., Järvelä, M., et al. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.10.013 · Cited by 22

When performing actions with robots, attribution of intentionality affects the sense of joint agency

Navare, U. P., Ciardo, F., Kompatsiari, K., Tommaso, D. D., & Wykowska, A. (2024) · Science Robotics · doi:10.1126/scirobotics.adj3665 · Cited by 26

Implications of Aperiodic and Periodic EEG Components in Classification of Major Depressive Disorder from Source and Electrode Perspectives

Zandbagleh, A., Sanei, S., & Azami, H. (2024) · Sensors · doi:10.3390/s24186103 · Cited by 22

Variability and stability of large-scale cortical oscillation patterns

Cox, R., Schapiro, A. C., & Stickgold, R. (2018) · Network Neuroscience · doi:10.1162/netn_a_00046 · Cited by 27

Working memory updating training modulates a cascade of event-related potentials depending on task load

Salmi, J., Vilà‐Balló, A., Soveri, A., Rostán, C., Rodríguez‐Fornells, A., Lehtonen, M., & Laine, M. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.107085 · Cited by 26

Investigating functional changes in the brain to intermittently induced auditory illusions and its relevance to chronic tinnitus

Mohan, A., Bhamoo, N., Riquelme, J. S., Long, S., Noreña, A. J., & Vanneste, S. (2020) · Human Brain Mapping · doi:10.1002/hbm.24914 · Cited by 20

Experience-dependent modulation of the visual evoked potential: Testing effect sizes, retention over time, and associations with age in 415 healthy individuals

Valstad, M., Moberget, T., Roelfs, D., Slapø, N. B., Timpe, C. M. F., Beck, D., Richard, G., Sæther, L. S., Haatveit, B. C., Skaug, K. A., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117302 · Cited by 19

Reflections of Idiographic Long-Term Memory Characteristics In Resting-State Neuroimaging Data

Zhou, P., Sense, F., van Rijn, H., & Stocco, A. (2020) · Cognition · doi:10.1016/j.cognition.2021.104660 · Cited by 22

EEG cross-frequency phase synchronization as an index of memory matching in visual search

Biel, A. L., Minarik, T., & Sauseng, P. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117971 · Cited by 24

The Role of Conjunctive Representations in Stopping Actions

Kikumoto, A., Sameshima, T., & Mayr, U. (2022) · Psychological Science · doi:10.1177/09567976211034505 · Cited by 28

Nonlinear refinement of functional brain connectivity in golf players of different skill levels

Chen, T.-T., Wang, K., Huang, C., & Hung, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-06161-3 · Cited by 22

Parietal and medial temporal lobe interactions in working memory goal-directed behavior

Lee, B., Kim, J. S., & Chung, C. K. (2022) · Cortex · doi:10.1016/j.cortex.2022.02.005 · Cited by 22

The age‐related changes in 40 Hz Auditory S teady‐State Response and sustained E vent‐Related Fields to the same amplitude‐modulated tones in typically developing children: A magnetoencephalography study

Arutiunian, V., Arcara, G., Buianova, I., Gomozova, M., & Dragoy, O. (2022) · Human Brain Mapping · doi:10.1002/hbm.26013 · Cited by 21

ИСПОЛЬЗОВAНИЕ ПОТЕНЦИAЛA СОЦИAЛЬНЫХ ПAРТНЕРОВ В ПОДГОТОВКЕ БУДУЩИХ ПЕДAГОГОВ

Атабекова, Б. Б. (2024) · Habaršy. Pedagogika ġylymdary seriâsy · doi:10.51889/2959-5762.2023.80.4.019

DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION

Mustafa, N. H., Kelesbayev, D., & Alibekova, Z. D. (2018) · The Journal of Economic Research & Business Administration · doi:10.26577/be-2018-2-2141

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Using DataGrid Control to Realize DataBase of Querying in VB6.0

Hu, S. (2000) · Modern Computer

ESKVS: efficient and secure approach for keyframes-based video summarization framework

Saini, P., & Berwal, K. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18405-7 · Cited by 10