Experimental Brain Research

, Volume 232, Issue 6, pp 1599–1621 | Cite as

Understanding individual face discrimination by means of fast periodic visual stimulation

  • Bruno RossionEmail author


This paper reviews a fast periodic visual stimulation (FPVS) approach developed recently to make significant progress in understanding visual discrimination of individual faces. Displaying pictures of faces at a periodic frequency rate leads to a high signal-to-noise ratio (SNR) response in the human electroencephalogram, at the exact frequency of stimulation, a so-called steady-state visual evoked potential (SSVEP, Regan in Electroencephalogr Clin Neurophysiol 20:238–248, 1966). For fast periodic frequency rates, i.e., between 3 and 9 Hz, this response is reduced if the exact same face identity is repeated compared to the presentation of different face identities, the largest difference being observed over the right occipito-temporal cortex. A 6-Hz stimulation rate (cycle duration of ~170 ms) provides the largest difference between different and repeated faces, as also evidenced in face-selective areas of the ventral occipito-temporal cortex in functional magnetic resonance imaging. This high-level discrimination response is reduced following inversion and contrast-reversal of the faces and can be isolated without subtraction thanks to a fast periodic oddball paradigm. Overall, FPVS provides a response that is objective (i.e., at an experimentally defined frequency), implicit, has a high SNR and is directly quantifiable in a short amount of time. Although the approach is particularly appealing for understanding face perception, it can be generalized to study visual discrimination of complex visual patterns such as objects and visual scenes. The advantages of the approach make it also particularly well-suited to investigate these functions in populations who cannot provide overt behavioral responses and can only be tested for short durations, such as infants, young children and clinical populations.


Periodic visual stimulation SSVEP Individual face discrimination EEG Face perception Inversion Oddball 



This work was supported by the Belgian National Foundation for Scientific Research (FNRS) and an ERC Grant (facessvep 284025).

Supplementary material

Supplementary material 1 (MOV 284 kb)

Supplementary material 2 (MOV 988 kb)


  1. Abbott LF, Rolls ET, Tovee MJ (1996) Representational capacity of face coding in monkeys. Cereb Cortex 6:498–505PubMedGoogle Scholar
  2. Almoqbel F, Leat SJ, Irving E (2008) The technique, validity and clinical use of the sweep VEP. Ophthalmic Physiol Opt 28:393–403PubMedGoogle Scholar
  3. Alonso-Prieto E, Belle G, Liu-Shuang J, Norcia AM, Rossion B (2013) The 6 Hz fundamental stimulation frequency rate for individual face discrimination in the right occipito-temporal cortex. Neuropsychologia 51:2863–2875PubMedGoogle Scholar
  4. Appelbaum LG, Wade AR, Vildavski VY, Pettet MW, Norcia AM (2006) Cue-invariant networks for figure and background processing in human visual cortex. J Neurosci 26:11695–11708PubMedCentralPubMedGoogle Scholar
  5. Appelbaum LG, Ales JM, Cottereau B, Norcia AM (2010) Configural specificity of the lateral occipital cortex. Neuropsychologia 48:3323–3328PubMedCentralPubMedGoogle Scholar
  6. Atkinson J, Braddick O, French J (1979) Contrast sensitivity of the human neonate measured by the visual evoked potential. Invest Ophthalmol Vis Sci 18:210–213PubMedGoogle Scholar
  7. Barton JJ (2008) Structure and function in acquired prosopagnosia: lessons from a series of 10 patients with brain damage. J Neuropsychol 2:197–225PubMedGoogle Scholar
  8. Baylis GC, Rolls ET (1987) Responses of neurons in the inferior temporal cortex in short term and serial recognition memory tasks. Exp Brain Res 65:614–622PubMedGoogle Scholar
  9. Behrmann M, Avidan G (2005) Congenital prosopagnosia: face-blind from birth. Trends Cogn Sci 9:180–187PubMedGoogle Scholar
  10. Bentin S, McCarthy G, Perez E, Puce A, Allison T (1996) Electrophysiological studies of face perception in humans. J Cogn Neurosci 8:551–565PubMedCentralPubMedGoogle Scholar
  11. Benton AL, Van Allen MW (1968) Impairment in facial recognition in patients with cerebral disease. Trans Am Neurol Assoc 93:38–42PubMedGoogle Scholar
  12. Bohórquez J, Ozdamar O, Açikgöz N, Yavuz E (2007) Methodology to estimate the transient evoked responses for the generation of steady state responses. Conf Proc IEEE Eng Med Biol Soc 2007:2444–2447PubMedGoogle Scholar
  13. Bowles DC, McKone E, Dawel A, Duchaine B, Palermo R, Schmalzl L, Rivolta D, Wilson CE, Yovel G (2009) Diagnosing prosopagnosia: effects of ageing, sex, and participant-stimulus ethnic match on the Cambridge face memory test and Cambridge face perception test. Cogn Neuropsychol 26:423–455PubMedGoogle Scholar
  14. Braddick OJ, Wattam-Bell J, Atkinson J (1986) Orientation-specific cortical responses develop in early infancy. Nature 320:617–619PubMedGoogle Scholar
  15. Bruce V, Young A (1998) In the eye of the beholder: the science of face perception. Oxford University Press, OxfordGoogle Scholar
  16. Busch NA, VanRullen R (2010) Spontaneous EEG oscillations reveal periodic sampling of visual attention. Proc Natl Acad Sci USA 107:16048–16053PubMedCentralPubMedGoogle Scholar
  17. Busigny T, Graf M, Mayer E, Rossion B (2010) Acquired prosopagnosia as a face-specific disorder: ruling out the general visual similarity account. Neuropsychologia 48:2051–2067PubMedGoogle Scholar
  18. Buzsaki G, Llinas R, Singer W, Berthoz A, Christen Y (1994) Oscillatory and intermittent synchrony in the hippocampus: relevance to memory trace formation. In: Buzsaki G, Llinas R, Singer W, Berthoz A, Christen Y (eds) Temporal coding in the brain. Springer, Berlin, pp 145–172Google Scholar
  19. Caharel S, d'Arripe O, Ramon M, Jacques C, Rossion B (2009) Early adaptation to unfamiliar faces across viewpoint changes in the right hemisphere: evidence from the N170 ERP component. Neuropsychologia 47:639–643Google Scholar
  20. Capilla A, Pazo-Alvarez P, Darriba A, Campo P, Gross J (2011) Steady-state visual evoked potentials can be explained by temporal superposition of transient event-related responses. PLoS ONE 6:e14543PubMedCentralPubMedGoogle Scholar
  21. Carey S (1992) Becoming a face expert. Philos Trans R Soc Lond B Biol Sci 335(1273):95–102Google Scholar
  22. Chen Y, Seth AK, Gally J, Edelman GM (2003) The power of human brain magnetoencephalographic signals can be modulated up or down by changes in an attentive visual task. Proc Natl Acad Sci USA 100:3501–3506PubMedCentralPubMedGoogle Scholar
  23. Crookes K, McKone E (2009) Early maturity of face recognition: no childhood development of holistic processing, novel face encoding, or face-space. Cognition 111:219–247PubMedGoogle Scholar
  24. Davies-Thompson J, Gouws A, Andrews TJ (2009) An image-independent representation of familiar and unfamiliar faces in the human ventral stream. Neuropsychologia 47:1627–1635PubMedCentralPubMedGoogle Scholar
  25. de Heering A, Maurer D (2014) Face memory deficits in patients deprived of early visual input by bilateral congenital cataracts. Dev Psychobiol 56:96–108Google Scholar
  26. Di Russo F, Pitzalis S, Aprile T, Spitoni G, Patria F, Stella A, Spinelli D, Hillyard SA (2007) Spatiotemporal analysis of the cortical sources of the steady-state visual evoked potential. Hum Brain Mapp 28:323–334PubMedGoogle Scholar
  27. Ding J, Sperling G, Srinivasan R (2006) Attentional modulation of SSVEP power depends on the network tagged by the flicker frequency. Cereb Cortex 16:1016–1029PubMedCentralPubMedGoogle Scholar
  28. Duchaine BC, Nakayama K (2006a) The Cambridge face memory test: results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants. Neuropsychologia 44:576–585PubMedGoogle Scholar
  29. Duchaine BC, Nakayama K (2006b) Developmental prosopagnosia: a window to content-specific face processing. Curr Opin Neurobiol 16:166–173PubMedGoogle Scholar
  30. Freire A, Lee K, Symons LA (2000) The face-inversion effect as a deficit in the encoding of configural information: direct evidence. Perception 29:159–170PubMedGoogle Scholar
  31. Galambos R, Makeig S, Talmachoff PJ (1981) A 40-Hz auditory potential recorded from the human scalp. Proc Natl Acad Sci USA 78:2643–2647PubMedCentralPubMedGoogle Scholar
  32. Galper RE (1970) Recognition of faces in photographic negative. Psychon Sci 19:207–208Google Scholar
  33. Gauthier I, Tarr MJ, Moylan J, Skudlarski P, Gore JC, Anderson AW (2000) The FFA is part of a network that processes faces on an individual level. J Cogn Neurosci 12:495–504PubMedGoogle Scholar
  34. Gentile F, Rossion B (2014) Temporal frequency tuning of cortical face-sensitive areas for individual face perception. NeuroImage 90:256–265PubMedGoogle Scholar
  35. George N, Evans J, Fiori N, Davidoff J, Renault B (1996) Brain events related to normal and moderately scrambled faces. Cogn Brain Res 4:65–76Google Scholar
  36. Gerlicher AM, van Loon AM, Scholte HS, Lamme VA, van der Leij AR (2014) Emotional facial expressions reduce neural adaptation to face identity. Soc Cogn Affect Neurosci. doi: 10.1093/scan/nst022
  37. Germine LT, Duchaine B, Nakayama K (2011) Where cognitive development and aging meet: face learning ability peaks after age 30. Cognition 118:201–210PubMedGoogle Scholar
  38. Grill-Spector K, Malach R (2001) fMR-adaptation: a tool for studying the functional properties of human cortical neurons. Acta Psychol (Amst) 107(1–3):293–321Google Scholar
  39. Grill-Spector K, Henson R, Martin A (2006) Repetition and the brain: neural models of stimulus-specific effects. Trends Cogn Sci 10(1):14–23PubMedGoogle Scholar
  40. Gruss LF, Wieser MJ, Schweinberger SR, Keil A (2012) Face-evoked steady-state visual potentials: effects of presentation rate and face inversion. Front Hum Neurosci 6:316PubMedCentralPubMedGoogle Scholar
  41. Haig ND (1985) How faces differ—a new comparative technique. Perception 14:601–615PubMedGoogle Scholar
  42. Heinrich SP (2010) Some thoughts on the interpretation of steady-state evoked potentials. Doc Ophthalmol 120:205–214PubMedGoogle Scholar
  43. Heinrich SP, Mell D, Bach M (2009) Frequency-domain analysis of fast oddball responses to visual stimuli: a feasibility study. Int J Psychophysiol 73:287–293PubMedGoogle Scholar
  44. Henson RN (2003) Neuroimaging studies of priming. Prog Neurobiol 70:53–81PubMedGoogle Scholar
  45. Itier RJ, Taylor MJ (2002) Inversion and contrast polarity reversal affect both encoding and recognition processes of unfamiliar faces: a repetition study using ERPs. Neuroimage 15:353–372PubMedGoogle Scholar
  46. Jacques C, Rossion B (2006) The speed of individual face categorization. Psychol Sci 17:485–492PubMedGoogle Scholar
  47. Jacques C, d’Arripe O, Rossion B (2007) The time course of the inversion effect during individual face discrimination. J Vis 7:1–9Google Scholar
  48. Jeffreys DA (1989) A face-responsive potential recorded from the human scalp. Exp Brain Res 78:193–202PubMedGoogle Scholar
  49. Jeffreys DA (1993) The influence of stimulus orientation on the vertex positive scalp potential evoked by faces. Exp Brain Res 96:163–172Google Scholar
  50. Jiang F, Blanz V, O’Toole AJ (2006) Probing the visual representation of faces with adaptation: a view from the other side of the mean. Psychol Sci 17:493–500PubMedGoogle Scholar
  51. Kaspar K, Hassler U, Martens U, Trujillo-Barreto N, Gruber T (2010) Steady-state visually evoked potential correlates of object recognition. Brain Res 1343:112–121PubMedGoogle Scholar
  52. Keil A, Gruber T, Müller MM, Moratti S, Stolarova M, Bradley MM, Lang PJ (2003) Early modulation of visual perception by emotional arousal: evidence from steady-state visual evoked brain potentials. Cogn Affect Behav Neurosci 3:195–206PubMedGoogle Scholar
  53. Keil A, Ihssen N, Heim S (2006) Early cortical facilitation for emotionally arousing targets during the attentional blink. BMC Biol 20(4):23Google Scholar
  54. Kimura M, Schröger E, Czigler I (2011) Visual mismatch negativity and its importance in visual cognitive sciences. NeuroReport 22:669–673PubMedGoogle Scholar
  55. Klimesch W, Doppelmayr M, Russegger H, Pachinger T (1996) Theta band power in the human scalp EEG and the encoding of new information. NeuroReport 7:1235–1240PubMedGoogle Scholar
  56. Klimesch W, Sauseng P, Hanslmayr S (2007) EEG alpha oscillations: the inhibition-timing hypothesis. Brain Res Rev 53:63–88PubMedGoogle Scholar
  57. Kohn A (2007) Visual adaptation: physiology, mechanisms, and functional benefits. J Neurophysiol 97:3155–3164PubMedGoogle Scholar
  58. Kovács G, Zimmer M, Bankó E, Harza I, Antal A, Vidnyánszky Z (2006) Electrophysiological correlates of visual adaptation to faces and body parts in humans. Cereb Cortex 16:742–753PubMedGoogle Scholar
  59. Lalor EC, Pearlmutter BA, Reilly RB, McDarby G, Foxe JJ (2006) The VESPA: a method for the rapid estimation of a visual evoked potential. Neuroimage 32:1549–1561PubMedGoogle Scholar
  60. Lalor EC, Kelly SP, Foxe JJ (2012) Generation of the VESPA response to rapid contrast fluctuations is dominated by striate cortex: evidence from retinotopic mapping. Neuroscience 218:226–234PubMedCentralPubMedGoogle Scholar
  61. LeGrand R, Mondloch CJ, Maurer D, Brent HP (2001) Neuroperception. Early visual experience and face processing. Nature 410:890Google Scholar
  62. Leopold DA, Bondar IV, Giese MA (2006) Norm-based face encoding by single neurons in the monkey inferotemporal cortex. Nature 442:572–575PubMedGoogle Scholar
  63. Liebe S, Hoerzer GM, Logothetis NK, Rainer G (2012) Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance. Nat Neurosci 15:456–462PubMedGoogle Scholar
  64. Liu-Shuang J, Norcia AM, Rossion B (2014) An objective index of individual face discrimination in the right occipito-temporal cortex by means of fast periodic visual stimulation. Neuropsychologia 52:57–72PubMedGoogle Scholar
  65. Luck SJ (2005) An introduction to the event-related potential technique. MIT Press, CambridgeGoogle Scholar
  66. Makeig S, Jung TP, Bell AJ, Ghahremani D, Sejnowski TJ (1997) Blind separation of auditory event-related brain responses into independent components. Proc Natl Acad Sci USA 94:10979–10984PubMedCentralPubMedGoogle Scholar
  67. Malpass RS, Kravitz J (1969) Recognition for faces of own and other race. J Pers Soc Psychol 13:330–334PubMedGoogle Scholar
  68. Maurer D, Grand RL, Mondloch CJ (2002) The many faces of configural processing. Trends Cogn Sci 6:255–260PubMedGoogle Scholar
  69. McTeague LM, Shumen JR, Wieser MJ, Lang PJ, Keil A (2011) Social vision: sustained perceptual enhancement of affective facial cues in social anxiety. Neuroimage 54:1615–1624PubMedCentralPubMedGoogle Scholar
  70. Miller EK, Li L, Desimone R (1991) A neural mechanism for working and recognition memory in inferior temporal cortex. Science 254:1377–1379PubMedGoogle Scholar
  71. Mondloch CJ, Geldart S, Maurer D, Le Grand R (2003) Developmental changes in face processing skills. J Exp Child Psychol 86:67–84PubMedGoogle Scholar
  72. Moratti S, Keil A, Stolarova M (2004) Motivated attention in emotional picture processing is reflected by activity modulation in cortical attention networks. Neuroimage 21:954–964PubMedGoogle Scholar
  73. Morgan ST, Hansen JC, Hillyard SA (1996) Selective attention to stimulus location modulates the steady-state visual evoked potential. Proc Natl Acad Sci USA 93:4770–4774PubMedCentralPubMedGoogle Scholar
  74. Mouraux A, Iannetti GD (2008) Across-trial averaging of event-related EEG responses and beyond. Magn Reson Imaging 26:1041–1054PubMedGoogle Scholar
  75. Muller MM, Teder W, Hillyard SA (1997) Magnetoencephalographic recording of steady-state visual evoked cortical activity. Brain Topogr 9:163–168PubMedGoogle Scholar
  76. Müller MM, Andersen S, Trujillo NJ, Valdés-Sosa P, Malinowski P, Hillyard SA (2006) Feature-selective attention enhances color signals in early visual areas of the human brain. Proc Natl Acad Sci USA 103:14250–14254PubMedCentralPubMedGoogle Scholar
  77. Näätänen R, Gaillard AW, Mäntysalo S (1978) Early selective-attention effect on evoked potential reinterpreted. Acta Psychol 42:313–329Google Scholar
  78. Narici L, Portin K, Salmelin R, Hari R (1998) Responsiveness of human cortical activity to rhythmical stimulation: a three-modality, whole-head neuromagnetic investigation. Neuroimage 7:209–223PubMedGoogle Scholar
  79. Norcia AM, Tyler CW (1985) Spatial frequency sweep VEP: visual acuity during the first year of life. Vision Res 25:1399–1408PubMedGoogle Scholar
  80. Norcia AM, Candy TR, Pettet MW, Vildavski VY, Tyler CW (2002) Temporal dynamics of the human response to symmetry. J Vis 2:132–139PubMedGoogle Scholar
  81. Nunez PL, Srinivasan R (2006) Electrical fields of the brain: the neurophysics of EEG. Oxford University Press, New YorkGoogle Scholar
  82. Pazo-Alvarez P, Cadaveira F, Amenedo E (2003) MMN in the visual modality: a review. Biol Psychol 63:199–236PubMedGoogle Scholar
  83. Puce A, Allison T, Bentin S, Gore JC, McCarthy G (1998) Temporal cortex activation in humans viewing eye and mouth movements. J Neurosci 18:2188–2199Google Scholar
  84. Regan D (1966) Some characteristics of average steady-state and transient responses evoked by modulated light. Electroencephalogr Clin Neurophysiol 20:238–248PubMedGoogle Scholar
  85. Regan D (1973) Rapid objective refraction using evoked brain potentials. Invest Ophthalmol 12:669–679PubMedGoogle Scholar
  86. Regan D (1974) Electrophysiological evidence for colour channels in human pattern vision. Nature 250:437–439PubMedGoogle Scholar
  87. Regan D (1977) Steady-state evoked potentials. J Opt Soc Am 67:1475–1489PubMedGoogle Scholar
  88. Regan D (1989) Human brain electrophysiology: evoked potentials and evoked magnetic fields in science and medicine. Elsevier, New YorkGoogle Scholar
  89. Ringo JL (1996) Stimulus specific adaptation in inferior temporal and medial temporal cortex of the monkey. Behav Brain Res 76:191–197PubMedGoogle Scholar
  90. Rolls ET, Tovee MJ (1995) Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. J Neurophysiol 73:713–726PubMedGoogle Scholar
  91. Rossion B (2008) Picture-plane inversion leads to qualitative changes of face perception. Acta Psychol 128:274–289Google Scholar
  92. Rossion B (2009) Distinguishing the cause and consequence of face inversion: the perceptual field hypothesis. Acta Psychol 132:300–312Google Scholar
  93. Rossion B (2013) The composite face illusion: a whole window into our understanding of holistic face perception. Vis Cogn 21:139–253Google Scholar
  94. Rossion B, Boremanse A (2011) Robust sensitivity to facial identity in the right human occipito-temporal cortex as revealed by steady-state visual-evoked potentials. J Vis 16:1–21Google Scholar
  95. Rossion B, Jacques C (2008) Does physical interstimulus variance account for early electro-physiological face sensitive responses in the human brain? Ten lessons on the N170. NeuroImage 39:1959–1979PubMedGoogle Scholar
  96. Rossion B, Jacques C (2011) The N170: understanding the time-course of face perception in the human brain. In: Luck S, Kappenman E (eds) The Oxford handbook of ERP components. University Press, Oxford, pp 115–142Google Scholar
  97. Rossion B, Michel C (2011) An experienced-based holistic account of the other-race face effect. In: Calder A, Rhodes G, Haxby JV, Johnson M (eds) The Oxford handbook of face perception. Oxford University Press, Oxford, pp 215–244Google Scholar
  98. Rossion B, Delvenne J-F, Debatisse D, Goffaux V, Bruyer R, Crommelinck M, Guerit J-M (1999) Spatio-temporal brain localization of the face inversion effect. Biol Psychol 50:173–189Google Scholar
  99. Rossion B, Prieto EA, Boremanse A, Kuefner D, Van Belle G (2012) A steady-state visual evoked potential approach to individual face perception: effect of inversion, contrast-reversal and temporal dynamics. NeuroImage 63:1585–1600PubMedGoogle Scholar
  100. Russell R, Sinha P, Biederman I, Nederhouser M (2006) Is pigmentation important for face recognition? Evidence from contrast negation. Perception 356:749–759Google Scholar
  101. Sadr J, Jarudi I, Sinha P (2003) The role of eyebrows in face recognition. Perception 65:285–293Google Scholar
  102. Santarelli R, Maurizi M, Conti G, Ottaviani F, Paludetti G et al (1995) Generation of human auditory steady-state responses (SSRs) II: addition of responses to individual stimuli. Hear Res 83:9–18PubMedGoogle Scholar
  103. Schultz J, Pilz KS (2009) Natural facial motion enhances cortical responses to faces. Exp Brain Res 194:465–475Google Scholar
  104. Schweinberger SR, Pickering EC, Jentzsch I, Burton AM, Kaufmann JM (2002) Event-related brain potential evidence for a response of inferior temporal cortex to familiar face repetitions. Cogn Brain Res 14:398–409Google Scholar
  105. Sergent J (1984) Configural processing of faces in the left and the right cerebral hemispheres. J Exp Psychol 10:554–572Google Scholar
  106. Sergent J, Signoret JL (1992) Varieties of functional deficits in prosopagnosia. Cereb Cortex 2:375–388PubMedGoogle Scholar
  107. Silberstein RB, Schier MA, Pipingas A, Ciorciari J, Wood SR, Simpson DG (1990) Steady-state visually evoked potential topography associated with a visual vigilance task. Brain Topogr 3:337–347PubMedGoogle Scholar
  108. Srinivasan R, Russell DP, Edelman GM, Tononi G (1999) Increased synchronization of neuromagnetic response during conscious perception. J Neurosci 19:5435–5448PubMedGoogle Scholar
  109. Srinivasan R, Bibi FA, Nunez PL (2006) Steady-state visual evoked potentials: distributed local sources and wave-like dynamics are sensitive to flicker frequency. Brain Topogr 18:167–187PubMedCentralPubMedGoogle Scholar
  110. Talsma D, Doty TJ, Strowd R, Woldorff MG (2006) Attentional capacity for processing concurrent stimuli is larger across sensory modalities than within a modality. Psychophysiology 43:541–549PubMedGoogle Scholar
  111. Tanaka JW, Farah MJ (1993) Parts and wholes in face recognition. Q J Exp Psychol 46:225–245Google Scholar
  112. Towler J, Eimer M (2012) Electrophysiological studies of face processing in developmental prosopagnosia: neuropsychological and neurodevelopmental perspectives. Cogn Neuropsychol 29:503–529PubMedGoogle Scholar
  113. Tsuruhara A, Inui K, Kakigi R (2014) Steady-state visual-evoked response to upright and inverted geometrical faces: a magnetoencephalography study. Neurosci Lett 562:19–23PubMedGoogle Scholar
  114. Tyler CW, Kaitz M (1977) Movement adaptation in the visual evoked response. Exp Brain Res 27:203–209PubMedGoogle Scholar
  115. Valentine T, Powell J, Davidoff J, Letson S, Greenwood R (2006) Prevalence and correlates of face recognition impairments after acquired brain injury. Neuropsychol Rehabil 16:272–297PubMedGoogle Scholar
  116. Van der Tweel LH, Lunel HF (1965) Human visual responses to sinusoidally modulated light. Electroencephalogr Clin Neurophysiol 18:587–598Google Scholar
  117. van Vugt MK, Simen P, Nystrom LE, Holmes P, Cohen JD (2012) EEG oscillations reveal neural correlates of evidence accumulation. Front Neurosci 6:106PubMedCentralPubMedGoogle Scholar
  118. Walther C, Schweinberger SR, Kaiser D, Kovács G (2013) Neural correlates of priming and adaptation in familiar face perception. Cortex 49:1963–1977PubMedGoogle Scholar
  119. Wieser MJ, McTeague LM, Keil A (2012) Competition effects of threatening faces in social anxiety. Emotion 12:1050–1060PubMedCentralPubMedGoogle Scholar
  120. Wilmer JB, Germine L, Chabris CF, Chatterjee G, Williams M, Loken E, Nakayama K, Duchaine B (2010) Human face recognition ability is specific and highly heritable. Proc Natl Acad Sci USA 107:5238–5241PubMedCentralPubMedGoogle Scholar
  121. Yin RK (1969) Looking at upside-down faces. J Exp Psychol 81:141–145Google Scholar
  122. Young MP, Yamane S (1992) Sparse population coding of faces in IT cortex. Science 256:1327–1331PubMedGoogle Scholar
  123. Young AW, Hellawell D, Hay DC (1987) Configurational information in face perception. Perception 16:747–759PubMedGoogle Scholar
  124. Zemon V, Ratliff F (1982) Visual evoked potentials: evidence for lateral interactions. Proc Natl Acad Sci USA 79:5723–5726PubMedCentralPubMedGoogle Scholar

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© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Psychological Sciences Research Institute (IPSY) and Institute of Neuroscience (IoNS)University of Louvain (UCL)Louvain-la-NeuveBelgium

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