| Title |
Redundant target effect and the processing of colour and luminance
|
|---|---|
| Published in |
Experimental Brain Research, February 2008
|
| DOI | 10.1007/s00221-008-1293-0 |
| Pubmed ID | |
| Authors |
N. Ridgway, M. Milders, A. Sahraie |
| Abstract |
The redundant target effect is the observation that people typically respond faster to double targets (two targets presented simultaneously) than to either of the targets presented alone. This difference in latency is termed the redundancy gain (RG). Chromatic targets may be accompanied with luminance changes at their onset and offset. We have used a dynamic random luminance modulation technique to mask out luminance components of chromatic signals. Here we report on the presence of a significant RG for visual targets defined by their combined luminance and chromatic components as well as their chromatic content in isolation. Reaction times were measured to the onset of three classes of stimuli, namely, Long- and Short-wavelength cone sensitive (L- and S-cone) targets matched for saliency as well as luminance-defined targets. Analysis of the cumulative distributions of reaction time data showed that a neural coactivation model could fit the experimental data for chromatic targets only. When a luminance component is present, the reaction time data can be explained by a probability summation account also known as the race model. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Germany | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 35 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Student > Master | 7 | 18% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 50% |
| Medicine and Dentistry | 4 | 11% |
| Agricultural and Biological Sciences | 3 | 8% |
| Engineering | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 6 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2013.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Experimental Brain Research
#900
of 3,224 outputs
Outputs of similar age
#42,971
of 157,253 outputs
Outputs of similar age from Experimental Brain Research
#8
of 16 outputs
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