2013
DOI: 10.1068/i0602
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Shapes Displayed with Durations in the Microsecond Range Do Not Obey Bloch's Law of Temporal Summation

Abstract: 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 r… Show more

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Cited by 4 publications
(17 citation statements)
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“…The plots in Figure 2 show individual models and a group model as well as a confidence band around the group model. Consistent with what was found previously ( Greene & Ogden, 2013 ), the single flashes with durations of 100 μs elicited minimal recognition. However, multiple flashes delivering the same total quantity of photons provided for high hit rates.…”
Section: Introductionsupporting
confidence: 91%
See 3 more Smart Citations
“…The plots in Figure 2 show individual models and a group model as well as a confidence band around the group model. Consistent with what was found previously ( Greene & Ogden, 2013 ), the single flashes with durations of 100 μs elicited minimal recognition. However, multiple flashes delivering the same total quantity of photons provided for high hit rates.…”
Section: Introductionsupporting
confidence: 91%
“…The individual and group models are shown in Figure 3 . Consistent with prior findings ( Greene & Ogden, 2013 ), the single flash elicited minimal recognition for each of the respondents. All the multiple-flash conditions produced hit rates that were well above the shape-recognition threshold; indeed even the two-flash condition was able to elicit recognition not far from the top of the range.…”
Section: Introductionsupporting
confidence: 88%
See 2 more Smart Citations
“…This system was previously used to study recognition with a diverse inventory of 360 shapes, e.g., animals, vehicles, tools, and furniture (Greene & Ogden, 2013, Greene, 2013. The shapes were rendered as a continuous string of dots that marked the major contours of each shape, in particular the outer boundary, similar to a silhouette.…”
Section: Introductionmentioning
confidence: 99%