Using Fixation-Related Potentials to Investigate Dynamic Face Processing

Total Page:16

File Type:pdf, Size:1020Kb

Using Fixation-Related Potentials to Investigate Dynamic Face Processing Visual Cognition ISSN: 1350-6285 (Print) 1464-0716 (Online) Journal homepage: https://www.tandfonline.com/loi/pvis20 Peripheral preview abolishes N170 face-sensitivity at fixation: Using fixation-related potentials to investigate dynamic face processing Peter de Lissa, Genevieve McArthur, Stefan Hawelka, Romina Palermo, Yatin Mahajan, Federica Degno & Florian Hutzler To cite this article: Peter de Lissa, Genevieve McArthur, Stefan Hawelka, Romina Palermo, Yatin Mahajan, Federica Degno & Florian Hutzler (2019): Peripheral preview abolishes N170 face- sensitivity at fixation: Using fixation-related potentials to investigate dynamic face processing, Visual Cognition To link to this article: https://doi.org/10.1080/13506285.2019.1676855 Published online: 16 Oct 2019. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=pvis20 VISUAL COGNITION https://doi.org/10.1080/13506285.2019.1676855 Peripheral preview abolishes N170 face-sensitivity at fixation: Using fixation- related potentials to investigate dynamic face processing Peter de Lissaa,b, Genevieve McArthurb, Stefan Hawelka c, Romina Palermo d, Yatin Mahajane, Federica Degno f and Florian Hutzler c aiBMLab, Department of Psychology, University of Fribourg, Fribourg, Switzerland; bDepartment of Cognitive Science, Macquarie University, Sydney, Australia; cCentre for Cognitive Neuroscience, Salzburg University, Salzburg, Austria; dSchool of Psychological Science, University of Western Australia, Perth, Australia; eThe MARCS Institute, University of Western Sydney, Australia; fSchool of Psychology, University of Central Lancashire, Preston, UK ABSTRACT ARTICLE HISTORY The N170 ERP peak has been found to be consistently larger in response to the presentation of faces Received 22 February 2018 than to other objects, yet it is not clear whether this face-sensitive N170 is also elicited during Accepted 1 October 2019 fixations made subsequent to the initial presentation. To investigate this question, the current KEYWORDS study utilised Event and Fixation-Related Potentials in two experiments, time-locking brain ’ Faces; N170; ERP; FRP; potentials to the presentation of faces and objects (watches) images in participants peripheral fixation vision, and to their first fixations on the images. Experiment 1 found that a face-sensitive N170 was elicited by the onset of images but not by a subsequent fixation on the images, and that face inversion did not modulate N170 beyond presentation. Experiment 2 found that disrupting the structure of the peripheral preview (phase-scrambling) led to a face-sensitive N170 at fixation onsets on the intact-images. Interestingly, N170 amplitudes for both faces and objects were significantly enhanced after the peripheral preview was phase-scrambled, suggesting that the N170 in part reflects a category-detection process that is elicited once when an image structure is viewed. These results indicate that neural processing during fixations will be significantly modulated when they are immediately preceded by peripheral previews, and is not specific to faces. Most of our visual perception occurs through natural Kauffmann et al., 2019) or houses (Mares, Smith, fixations,whereweareoftenabletocontrolthe Johnson, & Senju, 2016). timing and the targets of our visual processing. Our Neuroimaging studies have consistently found that peripheral field of view allows us to perceive and faces can be differentiated from other objects very process these targets, and subsequently direct our early in the visual processing stream. In event- gaze towards them to process them with greater related potential (ERP) studies, this can be seen with acuity through our foveal vision (Strasburger, Ren- a negative peak, the N170, at around 170 milliseconds tschler, & Juttner, 2011 for review). One of the most (ms) over occipitotemporal areas that is (1) larger to salient targets for our gaze is the human face, faces than other objects (e.g., watches, cars, or which tends to attract our attention more than houses; Bentin, Allison, Puce, Perez, & McCarthy, other visual stimuli (Langton, Law, Burton, & 1996; Eimer, 1998; Rossion & Jacques, 2007; although Schweinberger, 2008; Lavie, Ro, & Russell, 2003; cf Thierry, Martin, Downing, & Pegna 2007); (2) later Palermo & Rhodes, 2007;Yarbus,1967,forreview). and larger to inverted faces than upright faces (Itier, The preferential processing of faces in our periphery Latinus, & Taylor, 2006; Itier & Taylor, 2004; Linken- has been demonstrated by the significant speed kaer-Hansen et al., 1998; Rossion et al., 2000); and (3) advantage we have when making saccades towards elicited by faces presented in either the centre of a images of faces than to other familiar objects such visual field or the periphery (when spatially scaled to as vehicles (Crouzet, Kirchner, & Thorpe, 2010; account for eccentricity effects) (Kovács, Knakker, Guyader, Chauvin, Boucart, & Peyrin, 2017; Hermann, Kovács, & Vidnyanszky, 2017; Rousselet, CONTACT Peter de Lissa [email protected] iBMLab, Department of Psychology, University of Fribourg, Faucigny 2, Fribourg 1700, Switzerland © 2019 Informa UK Limited, trading as Taylor & Francis Group 2 P. DE LISSA ET AL. Husk, Bennett, & Sekuler, 2005). Of note is the insensi- faces, an N170 elicited at presentation may not be tivity of the N170 to face identity in typical ERP para- activated by a subsequent fixation made on the digms, which has led to the suggestion that this image, as the processes would already be com- early peak reflects a structural encoding stage of pro- pleted by the time of fixation. The consequences cessing of facial features and configuration that are of a peripheral preview for processing at a sub- used in later stages of processing such as recognition sequent fixation may therefore have many impli- (Bentin et al., 1996; Bentin & Deouell, 2000; Eimer, cations beyond face processing, where visual 2000). While this interpretation follows from the objects may be perceived before a fixation is model of structural encoding for faces initially outlined made to them, such as in reading or in visual by Bruce and Young (1986), the N170 is also con- search paradigms. sidered to reflect a face detection process (George, Although the traditional ERP approach is limited in Jemel, Fiori, Chaby, & Renault, 2005; Sagiv & Bentin, its ability to measure neural activity beyond the initial 2001), which is not explicitly part of Bruce and presentation, an approach that is well-suited to inves- Young’s model (Rossion & Jacques, 2011 for review). tigate the influence of peripheral previews on sub- The relationship between the N170 and behavioural sequent fixation-related face processing is the perception of a face was highlighted by the results Fixation-Related Potentials (FRP) paradigm. By co- of George et al. (2005), who found that Mooney registering EEG and eye-position recordings, tra- faces that had been behaviourally detected as faces ditional ERPs can be recorded during the initial periph- elicited larger N170 responses than those that had not. eral presentation of stimuli, and FRPs may be formed While the patterns of N170 responses to faces by time-locking the EEG to the onset of initial and objects have been the focus of much study in fixations made to the stimuli. So far, the FRP technique the past decades, traditional ERP paradigms do has offered a flexible approach to investigate how the not lend themselves to the investigation of the pro- brain processes both complex scenes and stimuli, and cessing of these stimuli in more complex contexts it applied to object identification (Rama & Baccino, mirroring our everyday experience, where visual 2010), free exploration (Devillez, Guyader, & Guérin- objects are often initially perceived peripherally Dugué, 2015; Graupner, Velichkovsky, Pannasch, & and subsequently fixated upon. To date, our under- Marx, 2007; Kamienkowski, Ison, Quiroga, & Sigman, standing of the neural processing of faces and 2012; Ossandón, Helo, Montefusco-Siegmund, & Mal- objects has mostly involved the analysis of neural donado, 2010), foveal/parafoveal wording reading responses to the onset of the image, presented (Baccino & Manunta, 2005; Degno et al., 2019; for a short period of time (e.g., a photo presented Dimigen, Kliegl, & Sommer, 2012; Hutzler et al., 2007; for 200 ms). For practical and experimental Hutzler et al., 2013; Kornrumpf, Niefind, Sommer, & reasons, traditional N170 ERP paradigms do not Dimigen, 2016; López-Peréz, Dampuré, Hernández- readily allow for the analysis of brain activity Cabrera, & Barber, 2016; Niefind & Dimigen, 2016), beyond the initial presentation of an image, and and attentional shifts (Huber-Huber, Ditye, Fernández, so the fate of face-processing beyond this presen- & Ansorge, 2016). The paradigm has also been tation-related processing is as yet unknown. extended to investigate the processing of faces Studies have shown that the N170 is elicited by within complex scenes (Kaunitz et al., 2014), emotion- faces presented in the periphery (Kovács et al., ally-salient scenes involving faces and other objects 2017; Rousselet et al., 2005), and that people tend (Guérin-Dugué et al., 2018; Simola, Fevre, Torniainen, to be significantly faster to make saccades to faces & Baccino, 2015; Soto et al., 2018), and the effect than to other objects when presented outside of face and gaze detection has on saccadic orienting to central vision (Crouzet et al., 2010;
Recommended publications
  • Visual Cortex in Humans 251
    Author's personal copy Visual Cortex in Humans 251 Visual Cortex in Humans B A Wandell, S O Dumoulin, and A A Brewer, using fMRI, and we discuss the main features of the Stanford University, Stanford, CA, USA V1 map. We then summarize the positions and proper- ties of ten additional visual field maps. This represents ã 2009 Elsevier Ltd. All rights reserved. our current understanding of human visual field maps, although this remains an active field of investigation, with more maps likely to be discovered. Finally, we Human visua l cortex comprises 4–6 billion neurons that are organ ized into more than a dozen distinct describe theories about the functional purpose and functional areas. These areas include the gray matter organizing principles of these maps. in the occi pital lobe and extend into the temporal and parietal lobes . The locations of these areas in the The Size and Location of Human Visual intact human cortex can be identified by measuring Cortex visual field maps. The neurons within these areas have a variety of different stimulus response proper- The entirety of human cortex occupies a surface area 2 ties. We descr ibe how to measure these visual field on the order of 1000 cm and ranges between 2 and maps, their locations, and their overall organization. 4 mm in thickness. Each cubic millimeter of cortex contains approximately 50 000 neurons so that neo- We then consider how information about patterns, objects, color s, and motion is analyzed and repre- cortex in the two hemispheres contain on the order of sented in these maps.
    [Show full text]
  • The Davida Teller Award Lecture, 2016 Visual Brain Development: A
    Journal of Vision (2017) 17(3):26, 1–24 1 The Davida Teller Award Lecture, 2016 Visual Brain Development: A review of ‘‘Dorsal Stream Vulnerability’’—motion, mathematics, amblyopia, actions, and attention # Janette Atkinson University College London, London, UK $ Research in the Visual Development Unit on ‘‘dorsal stream vulnerability’ (DSV) arose from research in two Introduction somewhat different areas. In the first, using cortical milestones for local and global processing from our neurobiological model, we identified cerebral visual Emerging cortical function and infant cortical impairment in infants in the first year of life. In the impairment second, using photo/videorefraction in population refractive screening programs, we showed that infant The work discussed at the beginning of this review spectacle wear could reduce the incidence of strabismus arose out of the first twenty years of my research with and amblyopia, but many preschool children, who had Oliver Braddick and our team in the Visual Develop- been significantly hyperopic earlier, showed visuo-motor ment Unit in Cambridge, particularly John Wattam- and attentional deficits. This led us to compare Bell and Shirley Anker (Atkinson, 2000). We began by developing dorsal and ventral streams, using sensitivity devising new methods, both behavioral (automated to global motion and form as signatures, finding deficits forced-choice preferential looking) and electrophysio- in motion sensitivity relative to form in children with logical (steady-state VEP/VERP—Visual Evoked Po- Williams syndrome, or perinatal brain injury in tential/Visual Event Related Potential) to measure the hemiplegia or preterm birth. Later research showed that normal visual capacities of infants such as acuity and this DSV was common across many disorders, both ‘‘ ’’ contrast sensitivity, over the first years of life (Atkin- genetic and acquired, from autism to amblyopia.
    [Show full text]
  • VISUAL NEUROSCIENCE Spring 2019
    PSYC/BIBB/VLST 217 VISUAL NEUROSCIENCE Spring 2019 Spring 2019 Lecture: MWF 9-10a, Leidy Labs 10 Prerequisites: PSCY 1, BIBB 109, VLST 101, or COGS 001 Synopsis: An introduction to the scientific study of vision, with an emphasis on the biological substrate and its relation to behavior. Topics will typically include physiological optics, transduction of light, visual thresholds, color vision, anatomy and physiology of the visual pathways, and the cognitive neuroscience of vision. Instructor: Alan A. Stocker, Ph.D. Office: Goddard Labs Rm 421, 3710 Hamilton Walk Phone: (215) 573 9341 Email: [email protected] Office hour: W 12-1p Teaching Assistant: Lingqi Zhang Email: [email protected] Office hour: T 5-6p, TR 5-6p Office hour location: Goddard Labs Rm 420, 3710 Hamilton Walk Course Website (CANVAS): The course has a dedicated CANVAS site. Lecture slides, homework assignments, and reading assignments/material will be posted there. Also, check the site frequently for posted announcements and Q & As on the discussion board. In general, this is the place to go first if you have any question or are in need of any information regarding the course. Requirements: Homework1-3 posted on canvas Midterm Exam 1 February 15 (in class) Midterm Exam 2 March 29 (in class) Midterm Exam 3 April 26 (in class) Final Exam (cumulative) May 13, 12-2p Policy on homework assignments: Homework assignments are essential for a proper understanding of the material. There will be three homework assignments, meant in part as preparation for each midterm exam. Assignments and due dates will be posted on CANVAS.
    [Show full text]
  • Perception, As You Make It
    Perception, As You Make It Behavioral & Brain Sciences commentary on Chaz Firestone & Brian Scholl, “Cognition does not affect perception: Evaluating the evidence for ‘top-down’ effects" David W. Vinson, University of California, Merced, Drew H. Abney, University of California, Merced Dima Amso, Brown University Anthony Chemero, University of Cincinnati James E. Cutting, Cornell University Rick Dale, University of California, Merced Jonathan B. Freeman, New York University Laurie B. Feldman, The University at Albany, SUNY Karl J. Friston, University College London Shaun Gallagher, University of Memphis J. Scott Jordan, Illinois State University Liad Mudrik, Tel Aviv University Sasha Ondobaka, University College London Daniel C. Richardson, University College London Ladan Shams, University of California, Los Angeles Maggie Shiffrar, California State University, Northridge Michael J. Spivey, University of California, Merced Abstract: The main question F&S pose is whether “what and how we see is functionally independent from what and how we think, know, desire, act, etc.” We synthesize a collection of concerns from an interdisciplinary set of co-authors regarding F&S’s assumptions and appeals to intuition, resulting in their treatment of visual perception as context-free. No perceptual task takes place in a contextual vacuum. How do we know that an effect is one of perception qua perception that does not involve other cognitive contributions? Experimental instructions alone involve various cognitive factors that guide task performance (Roepstorff & Frith, 2004). Even a request to detect simple stimulus features requires participants to understand the instructions (“language, memory”), keep track of them (“working memory”), become sensitive to them (“attention”), and pick up the necessary information to become appropriately sensitive (“perception”).
    [Show full text]
  • Principles of Image Representation in Visual Cortex
    In: The Visual Neurosciences, L.M. Chalupa, J.S. Werner, Eds. MIT Press, 2003: 1603-1615. Principles of Image Representation in Visual Cortex Bruno A. Olshausen Center for Neuroscience, UC Davis [email protected] 1 Introduction data. Neuroscientists are interested in understand- ing how the cortex extracts certain properties of the The visual cortex is responsible for most of our con- visual environment—surfaces, objects, textures, mo- scious perception of the visual world, yet we remain tion, etc.—from the data stream coming from the largely ignorant of the principles underlying its func- retina. Similarly, engineers are interested in design- tion despite progress on many fronts of neuroscience. ing algorithms capable of extracting structure con- The principal reason for this is not a lack of data, tained in images or sound—for example, to identify but rather the absence of a solid theoretical frame- and label parts within the body from medical imag- work for motivating experiments and interpreting ing data. These problems at their core are one in the findings. The situation may be likened to trying same, and progress in one domain will likely lead to to understand how birds fly without knowledge of new insights in the other. the principles of aerodynamics: no amount of ex- The key difficulty faced by both sides is that the perimentation or measurements made on the bird core principles of pattern analysis are not well un- itself will reveal the secret. The key experiment— derstood. No amount of experimentation or techno- measuring air pressure above and below the wing as logical tinkering alone can overcome this obstacle.
    [Show full text]
  • Do We Know What the Early Visual System Does?
    The Journal of Neuroscience, November 16, 2005 • 25(46):10577–10597 • 10577 Mini-Symposium Do We Know What the Early Visual System Does? Matteo Carandini,1 Jonathan B. Demb,2 Valerio Mante,1 David J. Tolhurst,3 Yang Dan,4 Bruno A. Olshausen,6 Jack L. Gallant,5,6 and Nicole C. Rust7 1Smith-Kettlewell Eye Research Institute, San Francisco, California 94115, 2Departments of Ophthalmology and Visual Sciences, and Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48105, 3Department of Physiology, University of Cambridge, Cambridge CB2 1TN, United Kingdom, Departments of 4Molecular and Cellular Biology and 5Psychology and 6Helen Wills Neuroscience Institute and School of Optometry, University of California, Berkeley, Berkeley, California 94720, and 7Center for Neural Science, New York University, New York, New York 10003 We can claim that we know what the visual system does once we can predict neural responses to arbitrary stimuli, including those seen in nature. In the early visual system, models based on one or more linear receptive fields hold promise to achieve this goal as long as the models include nonlinear mechanisms that control responsiveness, based on stimulus context and history, and take into account the nonlinearity of spike generation. These linear and nonlinear mechanisms might be the only essential determinants of the response, or alternatively, there may be additional fundamental determinants yet to be identified. Research is progressing with the goals of defining a single “standard model” for each stage of the visual pathway and testing the predictive power of these models on the responses to movies of natural scenes.
    [Show full text]
  • The Visual Analysis of Emotional Actions
    SOCIAL NEUROSCIENCE, 2006, 1(1) 63Á/74 The visual analysis of emotional actions Arieta Chouchourelou Rutgers University Á/ Newark Campus, Newark, NJ, USA Toshihiko Matsuka Stevens Institute of Technology, W.J. Howe School of Technology Management, Hoboken, NJ, USA Kent Harber and Maggie Shiffrar Rutgers University Á/ Newark Campus, Newark, NJ, USA Is the visual analysis of human actions modulated by the emotional content of those actions? This question is motivated by a consideration of the neuroanatomical connections between visual and emotional areas. Specifically, the superior temporal sulcus (STS), known to play a critical role in the visual detection of action, is extensively interconnected with the amygdala, a center for emotion processing. To the extent that amygdala activity influences STS activity, one would expect to find systematic differences in the visual detection of emotional actions. A series of psychophysical studies tested this prediction. Experiment 1 identified point-light walker movies that convincingly depicted five different emotional states: happiness, sadness, neutral, anger, and fear. In Experiment 2, participants performed a walker detection task with these movies. Detection performance was systematically modulated by the emotional content of the gaits. Participants demonstrated the greatest visual sensitivity to angry walkers. The results of Experiment 3 suggest that local velocity cues to anger may account for high false alarm rates to the presence of angry gaits. These results support the hypothesis that the visual analysis of human action depends upon emotion processes. Human observers demonstrate impressive visual 1988), emotional state (Atkinson, Dittrich, Gem- sensitivity to the actions of other people. This was mell, & Young, 2004) and gender (Troje, 2002).
    [Show full text]
  • 1 What Do Models of Visual Perception Tell Us About Visual Phenomenology?
    What do models of visual perception tell us about visual phenomenology? Rachel N. Denison1, Ned Block2, Jason Samaha3 1 Department of Psychology and Center for Neural Science, New York University 2 Department of Philosophy, New York University 3 Department of Psychology, University of California, Santa Cruz 1 Abstract Computational models of visual processing aim to provide a compact, explanatory account of the complex neural processes that underlie visual perception and behavior. But what, if anything, do current modeling approaches say about how conscious visual experience arises from neural processing? Here, we introduce the reader to four commonly used models for understanding visual computations, neural activity, and behavior: signal detection theory, drift diffusion, probabilistic population codes, and sampling. In an attempt to bridge these modeling approaches with experimental and philosophical work on the neural basis of conscious visual perception, we lay out possible relationships between the components of the models and the contents of phenomenal visual experience. We find no unique relation between model components and phenomenal experience in any model; rather, there are multiple logically possible mappings from models to experience. Going forward, we suggest that there are scientific opportunities to develop models that predict and explain a variety of subjective reports and philosophical opportunities to consider what aspects of phenomenal experience are promising scientific targets. Keywords: vision, perception, consciousness, subjective report, computational model 2 1 Introduction The science of visual perception has a long history of developing quantitative, computational models to explain and predict visual performance on a variety of tasks. These models have typically been developed to account for objective visual performance—like observer’s accuracy, reaction time, or perceptual sensitivity in discriminating different visual stimuli.
    [Show full text]
  • Unspecific Hypervigilance and Spatial Attention in Early Visual Perception
    Social Cognitive and Affective Neuroscience Advance Access published May 24, 2013 doi:10.1093/scan/nst044 SCAN (2013) 1 of 7 Timing the fearful brain: unspecific hypervigilance and spatial attention in early visual perception Mathias Weymar,1,2 Andreas Keil,2 and Alfons O. Hamm1 1Department of Biological and Clinical Psychology, University of Greifswald, 17487 Greifswald, Germany and 2Center for the Study of Emotion and Attention (CSEA), University of Florida, Gainesville, FL 32611, USA Numerous studies suggest that anxious individuals are more hypervigilant to threat in their environment than nonanxious individuals. In the present event-related potential (ERP) study, we sought to investigate the extent to which afferent cortical processes, as indexed by the earliest visual component C1, are biased in observers high in fear of specific objects. In a visual search paradigm, ERPs were measured while spider-fearful participants and controls searched for discrepant objects (e.g. spiders, butterflies, flowers) in visual arrays. Results showed enhanced C1 amplitudes in response to spatially directed target stimuli in spider-fearful participants only. Furthermore, enhanced C1 amplitudes were observed in response to all discrepant targets and distractors in spider-fearful compared with non-anxious participants, irrespective of fearful and non-fearful target contents. This pattern of results is in line with theoretical notions of heightened sensory sensitivity (hypervigilance) to external stimuli in high-fearful individuals. Specifically, the findings suggest that fear facilitates afferent cortical processing in the human visual cortex in a non-specific and temporally sustained fashion, when Downloaded from observers search for potential threat cues. Keywords: emotion; hypervigilance; spatial attention; C1; event-related potentials (ERPs) http://scan.oxfordjournals.org/ INTRODUCTION in specific object fear should show sensory facilitation when expecting Voluntary attention to a specific location in the environment results in to confront the feared object.
    [Show full text]
  • VISUAL NEUROSCIENCE Spring 2020
    PSYC/BIBB/VLST 217 VISUAL NEUROSCIENCE Spring 2020 Spring 2020 Lecture: MWF 9-10a, Leidy Labs 10 Prerequisites: PSCY 1, BIBB 109, VLST 101, COGS 001, PSYC 149/BIBB 249 Synopsis: An introduction to the scientific study of vision, with an emphasis on the biological substrate and its relation to behavior. Topics will typically include physiological optics, transduction of light, visual thresholds, color vision, anatomy and physiology of the visual pathways, and the cognitive neuroscience of vision. Instructor: Alan A. Stocker, Ph.D. Office: Goddard Labs Rm 421, 3710 Hamilton Walk Phone: (215) 573 9341 Email: [email protected] Office hour: W 12-1p Teaching Assistant: Jiang Mao Email: [email protected] Office hour: T 4-5p, TR 4-5p Office hour location: Goddard Labs Rm 420, 3710 Hamilton Walk Course Website (CANVAS): The course has a dedicated CANVAS site. Lecture slides, homework assignments, and reading assignments/material will be posted there. Also, check the site frequently for posted announcements and Q & As on the discussion board. In general, this is the place to go first if you have any question or are in need of any information regarding the course. Requirements: Homework1-3 posted on canvas Midterm Exam 1 February 21 (in class) Midterm Exam 2 March 27 (in class) Midterm Exam 3 April 24 (in class) Final Exam (cumulative) May 7, 12-2p Policy on homework assignments: Homework assignments are essential for a proper understanding of the material. There will be three homework assignments, meant in part as preparation for each midterm exam. Assignments and due dates will be posted on CANVAS.
    [Show full text]
  • Visual Perception & Visual Neuroscience
    Short tutorial: Visual Perception & Visual Neuroscience Organization of visual system Organization: lateral geniculate nucleus Ipsilateral: 2,3,5 Contralateral: 1,4,6 • Parvocellular: small cells, form • Magnocellular: large cells, motion Visual cortex • Primary visual cortex (striate cortex, V1) • Extrastriate visual areas • Retinotopic mapping in humans with fMRI Multiple visual areas: reality Macaque: about 50% of cortex is related to vision Physiology Example: direction selectivity in V1 V1 physiology Simple cells: Complex cells: • orientation selective • orientation selective • some are direction selective • some are direction selective • some are disparity selective • some are disparity selective • monocular or binocular • nearly all are binocular • separate ON and OFF • no separate ON and OFF subregions subregions • length summation • length summation (best response to long bar) Hypercomplex cells: end-stopping (best response to short bar) Brightness perception • Simultaneous brightness contrast – Effect of center- surround RF in the retina? Adelson’s checker shadow illusion See http://web.mit.edu/persci/people/adelson/checkershadow_illusion.html Color perception • Trichromacy • Opponent processes – R-G, B-Y, B-W – Opponent cells (center- surround opponency) Cortical basis of color perception • Evidence of a dedicated ‘color module’ in the human brain – Cerebral achromatopsia Mr. I. could hardly bear the changed appearances of people ("like animated gray statues") any more than he could bear his own changed appearance in the mirror: he shunned social intercourse and found sexual intercourse impossible. He saw people's flesh, his wife's flesh, his own flesh, as an abhorrent gray; "flesh-colored" now appeared "rat-colored" to him. This was so even when he closed his eyes, for his preternaturally vivid ("eidetic") visual imagery was preserved but now without color, and forced on him images, forced him to "see" but see internally with the wrongness of his achromatopsia.
    [Show full text]
  • Neuropsychiatry Review Series: Disorders of Visual Perception. Dominic Ffytche, Jan Dirk Blom, Marco Catani
    Neuropsychiatry Review series: Disorders of Visual perception. Dominic Ffytche, Jan Dirk Blom, Marco Catani To cite this version: Dominic Ffytche, Jan Dirk Blom, Marco Catani. Neuropsychiatry Review series: Disorders of Visual perception.. Journal of Neurology, Neurosurgery and Psychiatry, BMJ Publishing Group, 2010, 81 (11), pp.1280. 10.1136/jnnp.2008.171348. hal-00587980 HAL Id: hal-00587980 https://hal.archives-ouvertes.fr/hal-00587980 Submitted on 22 Apr 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Disorders of visual perception Dr Dominic H ffytche1,4* Dr JD Blom2,3 4 Dr M Catani 1 Department of Old Age Psychiatry, Institute of Psychiatry, King’s College London, UK 2 Parnassia Bavo Group, The Hague, the Netherlands 3 Department of Psychiatry, University of Groningen, Groningen, the Netherlands 4 Natbrainlab, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, King’s College London, UK *Address for Correspondence Dr D H ffytche Department of Old Age Psychiatry, Institute of Psychiatry PO70, King’s College
    [Show full text]