All Outputs (8)

Do sheep really recognize faces? Evidence from previous studies. Response to ‘Sheep recognize familiar and unfamiliar human faces from two-dimensional images’ (2019)
Journal Article
Peirce, J. W. (2019). Do sheep really recognize faces? Evidence from previous studies. Response to ‘Sheep recognize familiar and unfamiliar human faces from two-dimensional images’. Royal Society Open Science, 6(7), Article 182157. https://doi.org/10.1098/rsos.182157

PsychoPy2: experiments in behavior made easy (2019)
Journal Article
Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., …Lindeløv, J. (2019). PsychoPy2: experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. https://doi.org/10.3758/s13428-018-01193-y

PsychoPy is an application for the creation of experiments in behavioral science (psychology, neuroscience, linguistics, etc.) with precise spatial control and timing of stimuli. It now provides a choice of interface; users can write scripts Python i... Read More about PsychoPy2: experiments in behavior made easy.

Measuring nonlinear signal combination using EEG (2017)
Journal Article
Cunningham, D. G., Baker, D. H., & Peirce, J. W. (2017). Measuring nonlinear signal combination using EEG. Journal of Vision, 17(5), Article 10. https://doi.org/10.1167/17.5.10

Relatively little is known about the processes, both linear and nonlinear, by which signals are combined beyond V1. By presenting two stimulus components simultaneously, flickering at different temporal frequencies (frequency tagging) while measuring... Read More about Measuring nonlinear signal combination using EEG.

Cue Combination of Conflicting Color and Luminance Edges (2015)
Journal Article

Abrupt changes in the color or luminance of a visual image potentially indicate object boundaries. Here, we consider how these cues to the visual “edge” location are combined when they conflict. We measured the extent to which localization of a compo... Read More about Cue Combination of Conflicting Color and Luminance Edges.

Understanding mid-level representations in visual processing (2015)
Journal Article

Luminance cues constrain chromatic blur discrimination in natural scene stimuli (2013)
Journal Article
Sharman, R. J., McGraw, P. V., & Peirce, J. W. (2013). Luminance cues constrain chromatic blur discrimination in natural scene stimuli. Journal of Vision, 13(4), Article 14. https://doi.org/10.1167/13.4.14

Introducing blur into the color components of a natural scene has very little effect on its percept, whereas blur introduced into the luminance component is very noticeable. Here we quantify the dominance of luminance information in blur detection an... Read More about Luminance cues constrain chromatic blur discrimination in natural scene stimuli.

Using evolutionary algorithms for fitting high-dimensional models to neuronal data (2012)
Journal Article
Svensson, C.-M., Coombes, S., & Peirce, J. (2012). Using evolutionary algorithms for fitting high-dimensional models to neuronal data. Neuroinformatics, 10(2), https://doi.org/10.1007/s12021-012-9140-7

n the study of neurosciences, and of complex biological systems in general, there is frequently a need to fit mathematical models with large numbers of parameters to highly complex datasets. Here we consider algorithms of two different classes, gradi... Read More about Using evolutionary algorithms for fitting high-dimensional models to neuronal data.

Nonlinear summation really can be used to perform AND operations: reply to May and Zhaoping (2011)
Journal Article
Peirce, J. (2011). Nonlinear summation really can be used to perform AND operations: reply to May and Zhaoping. Journal of Vision, 11(9), Article 18. https://doi.org/10.1167/11.9.18