| 2019 | CogSci | How time spent on feedback influences learning and gaze in categorization training. | Katerina Dolguikh, Jordan I. Barnes, Tyrus Tracey, Mark R. Blair |
| 2017 | CogSci | A modeling link between cognitive and biological homeostasis. | Gavin W. Jenkins, Jordan I. Barnes, Paul F. Tupper, Mark R. Blair |
| 2017 | HCI | Design-Based Evidence Collection and Evidence-Based Design (DEED) Model. | Caitlyn McColeman, Robin Barrett, Mark R. Blair |
| 2015 | CogSci | A dynamic neural field model of self-regulated eye movements during category learning. | Jordan I. Barnes, Mark R. Blair, Paul F. Tupper, R. Calen Walshe |
| 2015 | CogSci | During category learning, top-down and bottom up processes battle for control of the eyes. | Caitlyn McColeman, Mark R. Blair |
| 2014 | CogSci | RLAttn: An actor-critic model of eye movements during category learning. | Jordan I. Barnes, Caitlyn McColeman, Ekaterina R. Stepanova, Mark R. Blair, R. Calen Walshe |
| 2014 | CogSci | Task relevance moderates saccade velocities to spatially separated cues. | Caitlyn McColeman, Mark R. Blair |
| 2013 | CogSci | Adult Category Learning Differences Predicted by a Dynamic Neural Field Theory Account of Information Sampled from the Fovea. | Jordan I. Barnes, Mark R. Blair, Paul F. Tupper, R. Calen Walshe |
| 2011 | CogSci | Rethinking the role of error in attentional learning. | Mark R. Blair, R. Calen Walshe, Jordan I. Barnes, Lihan Chen |
| 2011 | CogSci | A Tale of Two Processes: Categorization Accuracy and Attentional Learning Dissociate with Imperfect Feedback. | Caitlyn McColeman, Aaron Ancell, Mark R. Blair |
| 2011 | CogSci | Beyond probability gain: Information access strategies in category learning. | Kimberly Meier, Mark R. Blair |