Nathan Wispinski

Nathan Wispinski

I am a PhD candidate at the University of Alberta, supervised by Craig Chapman and Anthony Singhal. I was previously a Research Scientist Intern at DeepMind. I research biological and artificial intelligence, with a focus on decision making and motor control. My research combines human behavioural experiments, EEG, and motion tracking with reinforcement learning and deep neural networks.

nathan3@ualberta.ca
@nathanwispinski
@nathanwispinski
Nathan Wispinski
CV

Research projects

  • Adaptive patch foraging in deep RL

    Adaptive patch foraging in deep reinforcement learning agents

    Nathan Wispinski, Andrew Butcher, Craig Chapman, Matthew Botvinick, & Patrick Pilarski

    RLDM (2022)

    Abstract
  • Delayed reaching retinotopy in EEG

    Delayed reaching retinotopy in EEG

    Nathan Wispinski, Scott Stone, Craig Chapman, & Anthony Singhal

    (In progress)

    Blog
  • Reaching for the known unknowns: Rapid reach decisions accurately reflect the future state of dynamic probabilistic information

    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 (2021)

    Paper Preprint OSF GitHub Blog
  • Selective attention to real world objects drives their emotional appraisal

    Selective attention to real world objects drives their emotional appraisal

    Nathan Wispinski, Shihao Lin, James Enns, & Craig Chapman

    Attention, Perception, & Psychophysics (2021)

    Paper OSF GitHub Blog
  • Models, movements, and minds: Bridging the gap between decision making and action

    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

    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

    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

    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

    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

    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
Nathan Wispinski © 2022