[1] S.J. Luck, An introduction to the event-related potential technique, second ed., The MIT Press, 2005.
References and further reading may be available for this article. To view references and further reading you must
[2] J. Polich, “Updating P300: an integrative theory of P3a and P3b,” Clin. Neurophysiol., vol. 118, pp. 2128-2148, Jun. 2007.
[3] M.F. Bear, B.W. Connors, M.A. Paradiso, Neuroscience exploring the brain, 4th ed. Philadelphia, Wolters Kluwer, 2016.
[4] G. McCarthy, C.C. Wood, P.D. Williamson, D. Spencer, “Task-dependent field potentials in human hippocampal formation,” J. Neurosci., vol. 9, pp. 4235–4268, Dec. 1989.
[5] M. Molnar, “On the origin of the P300 event-related potential component,” Int. J. Psychophysiol., vol. 17, pp. 129–144, 1994.
[6] E. Kirino, A. Belger, P. Goldman-Rakic, G. McCarthy, “Prefrontal activation evoked by infrequent target and novel stimuli in a visual target detection task: an event-related functional magnetic resonance study,” J. Neurosci., vol. 20, pp. 6612–6618, Sep. 2000.
[7] R.T. Knight, “Distributed cortical network for visual attention,” J. Cogn. Neurosci., vol. 9, pp. 75–91, 1997.
[8] A.A. Stevens, P. Skudlarski, J.C. Gatenby, J.C. Gore, “Event related fMRI of auditory and visual oddball tasks,” Magn. Reson. Imaging, vol. 18, pp. 495–502, Jun. 2000.
[9] V.P. Clark, S. Fannon, S. Lai, R. Benson, L. Bauer, “Responses to rare visual target and distractor stimuli using event-related fMRI,” J. Neurophysiol., vol. 83, pp. 3133–3139, May 2000.
[10]Y. Long, X. Jiang, X. Zhou, “To believe or not to believe: trust choice modulates brain responses in outcome evaluation,” Neuroscience, vol. 200, pp. 50- 58, Jan. 2012.
[11]C. Bellebaum, I. Daum, “Learning-related changes in reward expectancy are reflected in the feedback-related negativity,” Eur. J. Neurosci., vol. 27, pp. 1823-1835, Apr 2008.
[12]م. عبدالصالحی، ع. مطیع نصرآبادی، س.م. فیروزآبادی، «بررسی میزان تعیین سیگنالهای مغزی در احساسات مثبت، منفی و خنثی در منابع حاصل از الگوریتم ICA،» فصلنامه علمی پژوهشی مهندسی پزشکی زیستی، شماره 2، دوره 7، صفحه 143-153، تابستان 1392.
[13]Y. Wu, X. Zhou, “The P300 and reward valence, magnitude, and expectancy in outcome evaluation,” Brain Res., vol. 1286, pp. 114-122, Aug. 2009.
[14]B. Ernst, M. Steinhauser, “Feedback-related brain activity predicts learning from feedback in multiple-choice testing,” Cogn. Affect. Behav. Neurosci., vol. 12, pp. 323-336, Jun. 2012.
[15]G. Hajcak, C.B. Holroyd, J.S. Moser, R.F. Simons, “Brain potentials associated with expected and unexpected good and bad outcomes,” Psychophysiology, vol. 42, pp. 161–170, Mar. 2005.
[16]M. Zeiler, “The impact of different positive and negative feedback stimuli on the FRN and P300: A synopsis of three event-related potential studies,” M.S. thesis, University of Wien, 2012.
[17]Y. Zhang, X. Li, X. Qian, X. Zhou, “Brain responses in evaluating feedback stimuli with a social dimension,” Front. Hum. Neurosci., vol. 6, pp. 29, Feb. 2012.
purchase this article.
[18]X. Mai, T. Tardif, S.N. Doan, C. Liu, W.J. Gehring, Y.J. Luo, “Brain activity elicited by positive and negative feedback in preschool-aged children,” PLoS ONE, vol. 6, pp. 1-6, 2011.
[19]R.S. Martin, “Event-related potential studies of outcome processing and feedback-guided leaning,” Front. Hum. Neurosci., vol. 6, pp. 304, Nov. 2012.
[20]R.D. Pascual-Marqui, C.M. Michel, D. Lehmann, “Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain,” Int. J. Psychophysiol., vol. 18, pp. 49-65, Oct. 1994.
[21]R.D. Pascual-Marqui, “Standardized low-resolution brain electromagnetic tomography: technical details,” Methods. Find. Exp. Clin. Pharmacol., vol. 24, pp. 5-12, 2002.
[22]I.F. Gorodnitsky, J.S. George, B.D. Rao, “Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm,” Electroencephalogr. Clin. Neurophysiol., vol. 95, pp. 231–251, Oct. 1995.
[23]H. Liu, P.H. Schimpf, G. Dong, X. Gao, F. Yang, S. Gao, “Standardized shrinking LORETA-FOCUSS (SSLOFO): a new algorithm for spatio-temporal EEG source reconstruction,” IEEE Trans. Biomed. Eng., vol. 52, pp. 1681-1691, Oct. 2005.
[24]S. Sanei, J.A. Chambers, EEG signal processing, John Wiley & Sons, 2007.
[25]ف. سلیمیان ریزی، و. ابوطالبی، م.ت. صادقی، « آشکار سازی مولفه P300 سیگنال مغزی با استفاده از الگوی زمانی مشترک،» فصلنامه علمی پژوهشی مهندسی پزشکی زیستی، دوره 9، شماره 4، صفحه 387-397، زمستان 1394.
[26]M. Sabeti, S.D. Katebi, K. Rastgar, “Source localization algorithms to find attention and memory circuits in the brain,” J. King Saud Univ. Comput. Inform. Sci., vol. 27, pp. 334–343, Jul. 2015.
[27]M. Sabeti, R. Boostani, K. Rastgar, “How mental fatigue affects the neural sources of P300 component?” J. Integr. Neurosci., vol. 17, pp. 71-81, 2018.
[28]P.H. Schimpf, H. Liu, “Localizing sources of the P300 using ICA, SSLOFO and latency mapping,” J. Biomechan. Biomed. Biophysic. Eng, vol. 2, pp. 1-11, 2008.
[29]A.J. Bell, T.J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput., vol. 7, pp. 1129-1159, Nov. 1995.
[30]و. ابوطالبی، م.ح. مرادی، م.ع. خلیل زاده، «آشکار سازی مولفه های شناختی سیگنال مغز با استفاده از ضرایب ویولت،» فصلنامه علمی پژوهشی مهندسی پزشکی زیستی، دوره 1، شماره 1، صفحه 25-45، پاییز 1383.
[31]M. Fuchs, R. Drenckhahn, H.A. Wischmann, M. Wagner, “An improved boundary element method for realistic volume-conductor modeling,” IEEE Trans Biomed Eng, vol. 45, pp. 980-97, Aug. 1998.
[32]Site of Spm12 software, Available: http://www.fil.ion.ucl.ac.uk/spm/software/spm12.
[33]M.M. Walsh, J.R. Anderson, “Learning from experience: Event-related potential correlates of reward processing, neural adaptation, and behavioral choice,” Neurosci. Biobehav. Rev., vol. 36, pp. 1870-1884, Sep. 2012.