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Visual Mechanism

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Interior Lighting
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Abstract

A visual sensation is the result of processes in the eye and brain. Light entering the eye is projected on the back of the inner part of the eye, the retina. The retina contains photoreceptor cells: cones and rods. Photopigments in these receptor cells absorb light, resulting in a chemical-electrical signal which travels down a nerve into the visual cortex part of the brain where the visual sensation is invoked. A small area of the retina around the axis of the eye, the fovea, only contains cone cells. The other, peripheral, areas have few cone and many rod cells. The cone cells in the fovea have a one-to-one nerve connection to the brain. Rod photoreceptor cells are located in the periphery of the retina. Many of them converge on a single ganglion cell. Consequently, foveal vision is sharp and peripheral vision is not sharp. The set of rods converging on the same ganglion (the receptive field of that cell) are processed through an opponent mechanism. Colour vision is possible because there are three types of cones, one with sensitivity for reddish, one for greenish and one for bluish light. A colour opponent mechanism processes their signals. Since we have just one type of rod cell, colour vision with rods is impossible. Cones are mainly active at lighting levels larger than some 5 cd/m 2 . Vision is then referred to as photopic. The spectral eye sensitivity curve V(λ) defined for photopic vision is the basis for all photometric units.

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References

  • Adelson EH (2000) Lightness perception and lightness illusions. In: Gazzaniga M (ed) The new cognitive neurosciences, 2nd edn. The MIT Press, Cambridge, MA, pp 339–351

    Google Scholar 

  • Berson DM (2003) Strange vision: ganglion cells as circadian photoreceptors. Trends Neurosci 26(6):314–320

    Article  MathSciNet  Google Scholar 

  • Berson DM, Dunn FA, Takao M (2002) Phototransduction by retinal ganglion cells that set the circadian clock. Science 295(5557):1070–1073

    Article  ADS  Google Scholar 

  • Boyce PR (2014) Human factors in lighting, 3rd edn. CRC Press, Boca Raton, FL

    Book  Google Scholar 

  • Chen SK, Badea TC, Hattar S (2011) Photoentrainment and pupillary light reflex are mediated by distinct populations of ipRGCs. Nature 476:92–95

    Article  Google Scholar 

  • CIE (1926) Proceedings CIE 6th Session 1924, Geneva. Recueil des Travaux et Compte Rendu de Séances. University Press, Cambridge, pp 67–69

    Google Scholar 

  • CIE (1951) Proceedings CIE 12th Session, Stockholm, vol 3, pp 37–39

    Google Scholar 

  • CIE (2005) CIE Publication 165:2005, CIE 10 degree photopic photometric observer

    Google Scholar 

  • CIE (2006) CIE Publication 170-1:2006, Fundamental chromaticity diagram with physiological axes—part 1

    Google Scholar 

  • CIE (2010) CIE Publication 191:2010, Recommended system for visual performance based on mesopic photometry

    Google Scholar 

  • CIE (2015) CIE Technical Note 003:2015, Report on the first international workshop on circadian and neurophysiological photometry, 2013

    Google Scholar 

  • Coaton JR, Marsden AM (1997) Lamps and lighting, 4th edn. Arnold, London

    Google Scholar 

  • Conway BR (2014) Color signals through dorsal and ventral visual pathways. Vis Neurosci 31:197–209

    Article  Google Scholar 

  • Cox DD (2014) Do we understand high-level vision? Curr Opin Neurobiol 25:187–193

    Article  Google Scholar 

  • Cuttle C (2008) Lighting by design, 2nd edn. Architectural Press, Oxford

    Book  Google Scholar 

  • De Valois RL, Abramov I, Jacobs GH (1966) Analysis of response patterns of LGN cells. J Opt Soc Am 56:966–977

    Article  ADS  Google Scholar 

  • Gross CH (1997) Leonardo da Vinci on the brain and eye. Neuroscientist 3:347–354

    Article  Google Scholar 

  • Güler AD, Ecker JL, Lall GS, Haq S, Altimus CM, Liao HW, Barnard AR, Cahill H, Badea TC, Zhao H, Hankins MW, Berson DM, Lucas RJ, Yau KW, Hattar S (2008) Melanopsin cells are the principal conduits for rod-cone input to non-image-forming vision. Nature 453(7191):102–105

    Article  ADS  Google Scholar 

  • Harada T, Goda N, Ogawa T, Ito M, Yoyoda H, Sadato N, Komatsu H (2009) Distribution of colour-selective activity in the monkey inferior temporal cortex revealed by functional magnetic resonance imaging. Eur J Neurosci 30(10):1960–1970

    Article  Google Scholar 

  • Hering E (1878) Zur Lehre vom Lichtsinn. Gerold, Vienna

    Google Scholar 

  • Hubel DH (1995) Eye, brain and vision, 2nd edn. Scientific American Library Series, no. 22, New York

    Google Scholar 

  • Johnson EN, Hawkes MJ, Shapley R (2008) The orientation selectivity of color-responsive neurons in macaque V1. J Neurosci 28:8096–8106

    Article  Google Scholar 

  • Kolb H (2003) How the retina works. Am Sci 91:28–35

    Article  Google Scholar 

  • Kosslyn SM (1987) Seeing and imagining in the cerebral hemispheres: a computational approach. Psychol Rev 94(2):148–175

    Article  Google Scholar 

  • Kuffler SW (1953) Discharge patterns and functional organization of mammalian retina. J Neurophysiol 16:37–68

    Article  Google Scholar 

  • Lucas RJ, Douglas RH, Foster RG (2001) Characterization of an ocular photopigment capable of driving pupillary constriction in mice. Nat Neurosci 4(6):621–626

    Article  Google Scholar 

  • Lucas RJ, Hattar S, Takao M (2003) Diminished pupillary light reflex at high irradiances in melanopsin-knockout mice. Science 299(5604):245–247

    Article  ADS  Google Scholar 

  • Lucas RJ, Peirson SN, Berson DM, Brown TM, Cooper HM, Czeisler CA, Figueiro MG, Gamlin PD, Lockley SW, O’Hagan JB, Price LA, Provencio I, Skene DJ, Brainard GC (2013) Measuring and using light in the melanopsin age. Trends Neurosci 37(1):1–9

    Article  Google Scholar 

  • Lynes JA (1971) Lightness, colour constancy in lighting design. Lighting Res Technol 3:24–42

    ADS  Google Scholar 

  • Lynes JA (1994) Daylight and the appearance of indoor surfaces. In: Proceedings CIBSE National lighting conference, Cambridge, England, pp 98–110

    Google Scholar 

  • Macaluso E, Driver J (2005) Multisensory spatial interactions: a window onto functional integration in the human brain. Trends Neurosci 28(5):264–271

    Article  Google Scholar 

  • Mann MD (2016) The nervous system in action. Webbook

    Google Scholar 

  • Marrelec G, Bellec P, Krainik A, Duffau H, Pelegrini-Isaac M (2008) Multisensory regions, systems, and the brain: hierarchical measures of functional integration in fMRI. Med Image Anal 12(4):484–496

    Article  Google Scholar 

  • McDougal DH, Gamlin PD (2010) The influence of intrinsically-photosensitive retinal ganglion cells on spectral sensitivity and response dynamics of the human pupillary light reflex. Vis Res 50:72–87

    Article  Google Scholar 

  • McMurrich JP (1930) Leonardo da Vinci the anatomist. Williams & Wilkins, Baltimore, MD

    Google Scholar 

  • Mély DA, Serre T (2017) Towards a theory of computation in the visual cortex. In: Zhao Q (ed) Computational and cognitive neuroscience of vision. Springer, Singapore

    Google Scholar 

  • Provencio I, Rodriguez IR, Jiang G, Hayes WP, Moreira EF, Rollag MD (2000) A novel human opsin in the inner retina. J Neurosci 20(2):600–605

    Article  Google Scholar 

  • Takahashi Y, Katsuura T, Shimomura Y, Iwanago K (2011) Prediction model of light-induced melatonin suppression. J Light Vis Environ 35(/2):123–135

    Article  ADS  Google Scholar 

  • Tovée MJ (1996) An introduction to the visual system. Cambridge University Press, Cambridge

    Google Scholar 

  • Walraven J, Enroth-Cugell C, Hood DC, MacLeod DIA, Schnapf JL (1990) The control of visual sensitivity: receptoral and postreceptoral processes. In: Spillman L, Werner JS (eds) Visual perception: the neurophysiological foundations. Academic Press, New York

    Google Scholar 

  • Wandell BA, Chichilnisky EJ (2012) Squaring cortex with color. Nat Neurosci 15:809–810

    Article  Google Scholar 

  • Watson AB (2014) A formula for human retinal ganglion cell receptive field density as a function of visual field location. J Vis 15:1–17

    Google Scholar 

  • Weston HC (1949) Sight light and efficiency. Lewis & Co, London

    Google Scholar 

  • Witten IB, Knudsen EI (2005) Why seeing is believing: merging auditory and visual worlds. Neuron 48(3):489–496

    Article  Google Scholar 

  • Wuerger S, Xiao K (2016) Color vision, opponent theory. In: Luo MR (ed) Encyclopedia of color science and technology. Springer, New York

    Google Scholar 

Download references

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van Bommel, W. (2019). Visual Mechanism. In: Interior Lighting. Springer, Cham. https://doi.org/10.1007/978-3-030-17195-7_1

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