C.S. Green, and D. Bavelier, "ScienceDirect Action video game training for cognitive enhancement", Curr. Opin. Behav. Sci., vol. 4, pp. 103-108, 2015.
R.J. Li, U. Polat, W. Makous, and D. Bavelier, "Enhancing the contrast sensitivity function through action video game training", Nat. Neurosci., vol. 12, pp. 549-551, 2009.
C.S. Green, T. Gorman, and D. Bavelier, "Action video-game
training and its effects on perception and attentional control, In:", Cognitive Training: An Overview of Features and Applications. Cham: Springer International Publishing, 2016, pp. 107-116.
M.S. Cain, A.N. Landau, and A.P. Shimamura, "Action video game experience reduces the cost of switching tasks", Atten. Percept. Psychophys., vol. 74, pp. 641-647, 2012.
P. Belchior, M. Marsiske, S.M. Sisco, A. Yam, D. Bavelier, K. Ball, and W.C. Mann, "Video game training to improve selective visual attention in older adults", Comput. Human Behav., vol. 29, pp. 1318-1324, 2013.
K.J. Blacker, K.M. Curby, E. Klobusicky, and J.M. Chein, "Effects of action video game training on visual working memory", J. Exp. Psychol. Hum. Percept. Perform., vol. 40, pp. 1992-2004, 2014.
A.F. McDermott, D. Bavelier, and C.S. Green, "Memory abilities in action video game players", Comput. Human Behav., vol. 34, pp. 69-78, 2014.
Y. Chen, "Q. Zhao, J. Li, B. Hu, H. Jiang, and W. Lin, A method of
removing Ocular Artifacts from EEG using discrete wavelet
transform and kalman filtering, In:", Proc. - 2016 IEEE Int. Conf.
Bioinforma. Biomed. BIBM 2016. Shenzhen, China, pp. 2017,
A. Subasi, and M.I. Gursoy, "EEG signal classification using PCA, ICA, LDA and support vector machines", Expert Syst. Appl., vol. 37, pp. 8659-8666, 2010.
Y.T. Qassim, T.R.H. Cutmore, D.A. James, and D.D. Rowlands, "Wavelet coherence of EEG signals for a visual oddball task", Comput. Biol. Med., vol. 43, pp. 23-31, 2013.
M. Teplan, "Fundamentals of EEG measurement", Meas. Sci. Rev., vol. 2, pp. 1-11, 2002.
X. Liu, J. Liu, F. Duan, R. Liu, S. Gai, S. Xu, J. Sun, and X. Cai, "Inter-hemispheric frontal alpha synchronization of event-related potentials reflects memory-induced mental fatigue", Neurosci. Lett., vol. 653, pp. 326-331, 2017.
P. Sauseng, B. Griesmayr, R. Freunberger, and W. Klimesch, "Neuroscience and biobehavioral reviews control mechanisms in
working memory : A possible function of EEG theta oscillations", Neurosci. Biobehav. Rev. pp. 6-13, 2010.
T.A. Rihs, C.M. Michel, and G. Thut, "Mechanisms of selective inhibition in visual spatial attention are indexed by 〈-band EEG synchronization", Eur. J. Neurosci., vol. 25, pp. 603-610, 2007.
T. Womelsdorf, and P. Fries, "The role of neuronal synchronization in selective attention", Curr. Opin. Neurobiol., vol. 17, pp. 154-160, 2007.
W.H.R. Miltner, C. Braun, M. Arnold, H. Witte, and E. Taub, "Coherence of gamma-band EEG activity as a bais or associative learning", Nat. Lett., vol. 397, pp. 434-436, 1999.
W. Klemm, and T. Li, "J. H.-C. and Cognition, and U. 2000, “Coherent EEG indicators of cognitive binding during ambiguous figure tasks", Conscious. Cogn., vol. 9, pp. 66-85, 2000.
C. Babiloni, F. Babiloni, F. Carducci, F. Cincotti, F. Vecchio, B. Cola, S. Rossi, C. Miniussi, and P.M. Rossini, "Functional frontoparietal connectivity during short-term memory as revealed by high-resolution eeg coherence analysis", Behav. Neurosci., vol. 118, pp. 687-697, 2004.
C. Summerfield, and J.A. Mangels, "Functional coupling between frontal and parietal lobes during recognition memory", Neuroreport, vol. 16, pp. 117-122, 2005.
M. Salminen, J.M. Kivikangas, N. Ravaja, and K. Kallinen, "Frontal EEG asymmetry in the study of player experiences during competitive and cooperative dual play", IADIS Int. Conf. Game Entertain. Technol.. pp. 44-50, 2009.
M. Shin, R. Heard, C. Suo, and C.M. Chow, "Positive emotions associated with ‘counter-strike’ game playing", Games Health J., vol. 1, pp. 342-347, 2012.
J.L. Alonso, and M.A. Guevara, "Increased prefrontal-parietal EEG gamma band correlation during motor imagery in expert video game players", Actualidades en Psicología., vol. 28, pp. 26-35, 2014.
A. Subasi, "Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction", Comput. Biol. Med., vol. 37, pp. 227-244, 2015.
E. Estrada, H. Nazeran, G. Sierra, F. Ebrahimi, and S.K. Setarehdan, "Wavelet-based EEG denoising for automatic sleep
stage classification, In:", 21st International Conference on Electrical
Communications and Computers (CONIELECOMP). San Andres
Cholula, Mexico, 2011.
J-A. Jianga, C-F. Chaoa, M-J. Chiub, R-G. Leec, C-L. Tsengd, and R. Lina, "An automatic analysis method for detecting and eliminating ECG artifacts in EEG", Comput. Biol. Med., vol. 37, pp. 1660-1671, 2007.
M.N. Tibdewal, M. Mahadevappa, A.K. Ray, M. Malokar, and H.R. Dey, "Power line and ocular artifact denoising from EEG using
Notch Filter and wavelet transform, In:", Proc. 10th Indiacom - 2016
3rd Int. Conf. Comput. Sustain. Glob. Dev. New Delhi, India, pp.
D. Wang, D-Q. Miao, and R-Z. Wang, "A new method of EEG
classification with feature extraction based on wavelet packet
decomposition", Tien Tzu Hsueh Pao/Acta Electron. Sin. vol. 41,
J.P. Lachaux, A. Lutz, D. Rudrauf, D. Cosmelli, M. Le Van Quyen, J. Martinerie, and F. Varela, "Estimating the time-course of coherence between single-trial brain signals: An introduction to wavelet coherence", Neurophysiol. Clin. Neurophysiol., vol. 32, pp. 157-174, 2002.
A. Catarino, A. Andrade, O. Churches, A.P. Wagner, S. Baron-Cohen, and H. Ring, "Task-related functional connectivity in autism spectrum conditions: An EEG study using wavelet transform coherence", Mol. Autism, vol. 4, p. 1, 2013.
O. Faust, U.R. Acharya, H. Adeli, and A. Adeli, "Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis", Seizure, vol. 26, pp. 56-64, 2015.
C. Ieracitano, N. Mammone, F. La Foresta, and F.C. Morabito, "Investigating the brain connectivity evolution in AD and MCI
patients through the EEG signals’ wavelet coherence, In", Smart
Innovat., Syst. Technol. vol. 69, 2017, pp. 259-269.
Z. Sankari, H. Adeli, and A. Adeli, "Wavelet coherence model for diagnosis of Alzheimer Disease", Clin. EEG Neurosci., vol. 43, pp. 268-278, 2012.
İ. Güler, and E.D. Übeyli, "Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients", J. Neurosci. Methods, vol. 148, pp. 113-121, 2005.
W.Y. Hsu, "EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features", J. Neurosci. Methods, vol. 189, pp. 295-302, 2010.
E.D. Übeyli, D. Cvetkovic, G. Holland, and I. Cosic, "Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of alterations in sleep EEG activity during hypopnoea episodes", Digit. Signal Process., vol. 20, pp. 678-691, 2010.
A. Subasi, "Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction", Comput. Biol. Med., vol. 37, pp. 227-244, 2007.
S.T. Mueller, and A.G. Esposito, "Computerized testing software for
assessing interference suppression in children and adults: The Bivalent
Shape Task (BST)", J. Open Res. Softw. vol. 2, pp. e3, 2014.
P. Toril, J.M. Reales, J. Mayas, and S. Ballesteros, "Video game
training enhances visuospatial working memory and episodic
memory in older adults", Front. Hum. Neurosci. vol. 10, 2016.
A. Vandierendonck, E. Kemps, M.C. Fastame, and A. Szmalec, "Working memory components of the Corsi blocks task", Br. J. Psychol., vol. 95, pp. 57-79, 2004.
S. Mallat, "A theory for multiresolution signal decomposition: The waveletrepresentation", Pami, vol. 11, pp. 674-693, 1989.
D. Donoho, "J.J.- Biometrika, and U. 1994, “Ideal spatial adaptation by wavelet shrinkage", Biometrika, vol. 83, pp. 425-455, 1994.
N. Al-Qazzaz, S. Hamid Bin Mohd Ali, S. Ahmad, M. Islam, and J. Escudero, "Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task", Sensors, vol. 15, pp. 29015-29035, 2015.
M. Mamun, M. Al-Kadi, and M. Marufuzzaman, "Effectiveness of wavelet denoising on electroencephalogram signals", J. Appl. Res. Technol., vol. 11, pp. 156-160, 2013.
J-S. Jang, "ANFIS: Adaptive-network-based fuzzy inference system", IEEE Trans. Syst. Man Cybern., vol. 23, pp. 665-685, 1993.
A. Klein, T. Sauer, A. Jedynak, and W. Skrandies, "Conventional and wavelet coherence applied to sensory - evoked electrical brain activity", IEEE Trans. Biomed. Eng., pp. 1-12, 2004.
L.B. White, and B. Boashash, "Cross spectral analysis of nonstationary processes", IEEE Trans. Inf. Theory, vol. 36, pp. 830-835, 1990.
R.T. Knight, W. Richard Staines, D. Swick, and L.L. Chao, "Prefrontal cortex regulates inhibition and excitation in distributed neural networks", Acta Psychol. (Amst.), vol. 101, pp. 159-178, 1999.
T. Kolodny, C. Mevorach, and L. Shalev, "Isolating response inhibition in the brain: Parietal vs. frontal contribution", Cortex, vol. 88, pp. 173-185, 2016.
S.M. Szczepanski, C.S. Konen, and S. Kastner, "Mechanisms of spatial attention control in frontal and parietal cortex", J. Neurosci., vol. 30, pp. 148-160, 2010.
W.E. MacKey, and C.E. Curtis, "Distinct contributions by frontal and
parietal cortices support working memory", Sci. Rep. vol. 7, 2017.
S. Nagamitsu, M. Nagano, Y. Yamashita, S. Takashima, and T. Matsuishi, "Prefrontal cerebral blood volume patterns while playing video games: A near-infrared spectroscopy study", Brain Dev., vol. 28, pp. 315-321, 2006.
J.D. Chisholm, and A. Kingstone, "Action video game players’ visual search advantage extends to biologically relevant stimuli", Acta Psychol. (Amst.), vol. 159, pp. 93-99, 2015.
A. Wr, "Beta activity : Attention Andrzej Wróbel a carrier for visual", Acta Neurobiol. Exp. (Wars.), vol. 60, no. 2, pp. 247-260, 2000.
Siuly. Y.L, and P. Wen, "Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface", Comput. Methods Programs Biomed., vol. 113, pp. 767-780, 2014.
C.J. Stam, A.M. Van Cappellen van Walsum, and S. Micheloyannis, "Variability of EEG synchronization during a working memory task in healthy subjects", Int. J. Psychophysiol., vol. 46, pp. 53-66, 2002.
A.K. Engel, and P. Fries, "Beta-band oscillations-signalling the status quo?", Curr. Opin. Neurobiol., vol. 20, pp. 156-165, 2010.
O. Jensen, J. Kaiser, and J. Lachaux, "Human gamma oscillations associated with attention and memory", Trends Neurosci., vol. 30, pp. 317-324, 2007.
L.S. Colzato, W.P.M. van den Wildenberg, S. Zmigrod, and B. Hommel, "Action video gaming and cognitive control: Playing first person shooter games is associated with improvement in working memory but not action inhibition", Psychol. Res., vol. 77, pp. 234-239, 2013.
E.O. Flores-Gutiérrez, J.L. Díaz, F.A. Barrios, M.A. Guevara, Y. del Río-Portilla, M. Corsi-Cabrera, and E.O. del Flores-Gutiérrez, "Differential alpha coherence hemispheric patterns in men and women during pleasant and unpleasant musical emotions", Int. J. Psychophysiol., vol. 71, pp. 43-49, 2009.