About
I am a PhD candidate at the University of Alberta, supervised by Craig Chapman and Anthony Singhal.
I research decision making and motor control in humans and machines.
My work involves behavioural experiments, data science, computational models, and a little bit of neuroimaging.
nathan3 [at] ualberta.ca
Projects
Click on [ Blog Post ] for a short project summary.
Delayed reaching retinotopy in EEG
(In progress)
[ Blog Post ]
Reaching for the known unknowns: Rapid reach decisions accurately reflect the future state of dynamic probabilistic information
Nathan Wispinski, Scott Stone, Jennifer Bertrand, Alexandra Ouellette Zuk, Ewen Lavoie, Jason Gallivan, & Craig Chapman
Cortex (2020)
[ Videos, Data, Code ]
[ Paper ] / [ Preprint ]
[ Blog Post ]
Selective attention to real world objects drives their emotional appraisal
Nathan Wispinski, Shihao Lin, James Enns, & Craig Chapman
Attention, Perception, & Psychophysics (2020)
[ Videos, Data, Code ]
[ Paper ]
[ Blog Post ]
Models, movements, and minds: Bridging the gap between decision making and action
Nathan Wispinski, Jason Gallivan, & Craig Chapman
Annals of the New York Academy of Sciences [The Year in Cognitive Neuroscience series] (2018)
[ Paper ]
Examining the “species” of situated cognition in humans
Ewen Lavoie, Jennifer Bertrand, Scott Stone, Nathan Wispinski, Jeff Sawalha, & Craig Chapman
Comparative Cognition & Behavior Reviews (2018)
[ Paper ]
Entrainment of theta, not alpha, oscillations is predictive of the brightness enhancement of a flickering stimulus
Jennifer Bertrand, Nathan Wispinski, Kyle Mathewson, & Craig Chapman
Scientific Reports (2018)
[ Paper ]
Reaching reveals that best-versus-rest processing contributes to biased decision making
Nathan Wispinski, Grace Truong, Todd Handy, & Craig Chapman
Acta Psychologica (2017)
[ Paper ]
Seeing wealth as a responsibility improves attitudes towards taxation
Ashley Whillans, Nathan Wispinski, & Elizabeth Dunn
Journal of Economic Behavior & Organization (2016)
[ Paper ]
The snooze of lose: Rapid reaching reveals that losses are processed more slowly than gains
Craig Chapman, Jason Gallivan, Jeremy Wong, Nathan Wispinski, & James Enns
Journal of Experimental Psychology: General (2015)
[ Paper ]