Shape patterns were displayed with simultaneous brief flashes from a light-emitting diode array. Flash durations in the microsecond range and luminous intensities were adjusted to vary the degree of successful shape recognition. Four experiments were conducted to test whether Bloch's law would apply in this task. Bloch's law holds that for very brief flashes the perceptual threshold is determined by the total number of photons being delivered, i.e., there is reciprocity of intensity and duration. The present results did not find that effectiveness of flashes was based on the total quantity of photons, as predicted by Bloch's law. Additionally, the evidence points to a visual mechanism that has ultra-high temporal precision that either registers the rate of photon flux or the duration of flashes.
BarlowH. B. (1958). Temporal and spatial summation in human vision at different background intensities. Journal of Physiology, 141, 337–350
2.
BaumbardtE.HillmannB. (1961). Duration and size as determinants of peripheral retinal response. Journal of the Optical Society of America, 51, 340–344. doi:10.1364/JOSA.51.000340
3.
BaylorD. A.NunnB. J.SchnapfJ. L. (1984). The photocurrent, noise and spectral sensitivity of rods in the monkey Macaca fascicularis. Journal of Physiology, 357, 575–607
4.
BlochA. M. (1885). Experiences sur la vision. Comptes Rendus de la Societe de Biologie3, 493–495
5.
BowmakerJ. K.DartnallH. J. A. (1980). Visual pigments of rods and cones in a human retina. Journal of Physiology, 298, 501–511
6.
BrindleyG. S. (1952). The Bunsen-Roscoe law for the human eye at very short durations. Journal of Physiology, 118, 135–139
7.
BrownR. H. (1957). The effect of extent on the intensity-time relation for the visual discrimination of movement. Journal of Comparative and Physiological Psychology, 50, 109–114. doi:10.1037/h0041499
8.
BunsenR.RoscoeH. E. (1855). Photochemische untersuchungen. Poggendorff's Annalen, 96, 373–394
9.
ColtheartM. (1980). Iconic memory and visible persistence. Perception and Psychophysics, 27, 183–228. doi:10.3758/BF03204258
10.
FieldG. D.SampathA. P.RiekeF. (2005). Retinal processing near absolute threshold: From behavior to mechanism. Annual Review of Physiology, 67, 491–514. doi:10.1146/annurev.physiol.67.031103.151256
11.
FreemanD. K.EddingtonD. K.RizzoJ. F.FriedS. I. (2010). Selective activation of neuronal targets with sinusoidal electrical stimulation. Journal of Neurophysiology, 104(5), 2778–2791. doi:10.1152/jn.00551.2010
12.
GrahamC. H.CookC. (1937). Visual acuity as a function of intensity and exposure-time. American Journal of Psychology, 49, 654–661
13.
GrahamC. H.KempE. H. (1938). Brightness discrimination as a function of the duration and the increment in intensity. Journal of General Physiology, 21, 635–650. doi:10.1085/jgp.21.5.635
14.
GrahamC. H.MargariaR. (1935). Area and the intensity-time relation in the peripheral retina. American Journal of Physiology, 113, 299–305
15.
GreeneE. (2006). Simultaneity in the millisecond range as a requirement for effective shape recognition. Behavioral and Brain Functions, 2, 38. doi:10.1186/1744-9081-2-38
16.
GreeneE. (2007a). Information persistence in the integration of partial cues for object recognition. Perception and Psychophysics, 69(5), 772–784. doi:10.3758/BF03193778
17.
GreeneE. (2007b). The integration window for shape cues is a function of ambient illumination. Behavioral and Brain Functions, 3, 15. doi:10.1186/1744-9081-3-15
18.
GreeneE. (2007c). Spatial and temporal proximity as factors in shape recognition. Behavioral and Brain Functions3, 27. doi:10.1186/1744-9081-3-27
GreeneE. (2008). Additional evidence that contour attributes are not essential cues for object recognition. Behavioral and Brain Functions, 4, 26. doi:10.1186/1744-9081-4-26
21.
GreeneE.OgdenR. T. (2012). Evaluating the contribution of shape attributes to recognition using the minimal discrete cue protocol. Behavioral and Brain Functions, 8, 53. doi:10.1186/1744-9081-8-53
22.
HaberR. N.StandingL. (1969). Direct measures of short-term visual storage. Quarterly Journal of Experimental Psychology, 21, 43–54. doi:10.1080/14640746908400193
23.
KahnemanD.NormanJ. (1964). The time-intensity relation in visual perception as a function of the observer's task. Journal of Experimental Psychology, 68, 215–220. doi:10.1037/h0046097
24.
KarnH. W. (1936). Area and the intensity-time relation in the fovea. Journal of General Physiology, 14, 360–369. doi:10.1080/00221309.1936.9713159
25.
LongG. (1980). Iconic memory: A review and critique of the study of short-term visual storage. Psychological Bulletin, 88, 785–820
26.
NeisserU. (1967). Cognitive psychology. New York: Appleton-Century-Crofts
27.
NivenJ. I.BrownR. H. (1944). Visual resolution as a function of intensity and exposure time in the human retina. Journal of the Optical Society of America, 34(12), 738–743. doi:10.1364/JOSA.34.000738
28.
RoodO. N. (1871). On the amount of time necessary for vision. American Journal of Science and Arts, 2, 159–160
29.
RouseR. O. (1952). Color and the intensity-time relation. Journal of the Optical Society of America, 42, 626–630. doi:10.1364/JOSA.42.000626
30.
ThorpeS.FizeD.MarlotC. (1996). Speed of processing in the human visual system. Nature, 381, 520–522. doi:10.1038/381520a0
31.
ThurgoodC.WhitfieldT. W. A.PattersonJ. (2011). Toward a visual recognition threshold: New instrument shows humans identify animals with only 1 ms of visual exposure. Vision Research, 51, 1966–1971. doi:10.1016/j.visres.2011.07.008
32.
Van RullenR.ThorpeS. (2001). The time course of visual processing: From early perception to decision making. Journal of Cognitive Neuroscience, 13(4), 454–461. doi:10.1162/08989290152001880
33.
WheatstoneC. (1834). An account of some experiments to measure the velocity of electricity and the duration of electric light. Philosophical Transactions of the Royal Society, 124, 583–591. doi:10.1098/rspl.1830.0178
34.
ZacksJ. L. (1970). Temporal summation phenomena at threshold: Their relation to visual mechanisms. Science, 170, 197–199. doi:10.1126/science.170.3954.197
