Simon Fraser University
Engaging the World

Cognitive Science Lab

Cognitive Science Lab / Publications

Data and Code

Most of our recent projects have publicly available annonymized data and analysis code.

https://summit.sfu.ca/collections

https://github.com/SFU-Cognitive-Science-Lab/Public

CSL Bulky Data and Code Share

 

Papers

  • Jenkins, G., Barnes, J. I., Tupper, P., & Blair, M. R. (2017). A modeling link between cognitive and biological homeostasis. In Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 588-593). Austin, TX: Cognitive Science Society. 
  • Barnes, J. I., McColeman, C. M., Stepanova, E., Blair, M. R., & Walshe, R. C. (2014). RLAttn: An actor-critic model of eye movements during category learning. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 1892-1897). Austin, TX: Cognitive Science Society. Paper.
  • McColeman, C. M., & Blair, M. R. (2013) The Influence of Salient Distractors over the Course of a Category Learning Task. Journal of Vision,13(9),506-506.
  • Blair, M. R., Watson, M. R., Walshe, R. C., & Maj, F. (2009). Extremely selective attention: Eye-tracking studies on dynamic attentional allocation to stimulus features. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(5), 1196-1206. doi:10.1037/a0016272
  • Goldstone, R., Rogosky, B., Pevtzow, R., & Blair, M. (2005). Perceptual and Semantic Reorganization during Category Learning. In H. Cohen, & C. Lefebvre (eds), The handbook of categorization (pp. 652-678). Oxford: Elsevier.
  • Hockema, S. A., Blair, M. R., & Goldstone, R. L. (2005). Differentiation for novel dimensions. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the Twenty-Seventh Annual Conference of the Cognitive Science Society (pp. 953-958). Mahwah, NJ: Lawrence Erlbaum.
  • Blair, M., & Homa, D. (2005). Integrating Novel Dimensions to Eliminate Category Exceptions: When More Is Less. Journal of Experimental Psychology: Learning Memory and Cognition. 31, 258-271.

Presentations

  • Dolguikh, K., Barnes, J. I., Tracey, T., & Blair, M. R. (2019). How time spent on feedback influences learning and gaze in categorization training.  In In A.K. Goel, C.M. Seifert, & C. Freksa (Eds.) Proceedings of the 41st Annual Conference of the Cognitive Science Society. Montreal, QB: Cognitive Science Society. Paper
  • Dolguikh, K., Barnes, J. I., Tracey, T., & Blair, M. R. (2019). Time spent on feedback influecnes learning and gaze. Northwest Conference on Cognition and Memory, Victoria, BC. Poster
  • Dolguikh, K., Barnes, J. I., McColeman, C. M., Chen, Y., Boorman, N., & Blair, M. R. (2018). Time on feedback during learning. Northwest Conference on Cognition and Memory, Vancouver, BC. Poster
  • Harrison, S. Barrett, R. C. A., Thompsons, J. J., & Blair, M. (2018 Mar). Effects of Task Complexity Fluctuations on Fixation Duration During Information Acquisition in a Dynamic Expertise Domain. Poster session presented at the Northwest Cognition and Memory Conference, Richmond, BC.
  • Azmand, S. J., Harrison, S., Swanson, L., Meijerhof, S., Dolguikh, K. & Blair, M. R. (2017). The Impact of Skill on Fixation Duration in a High-Speed Game. Northwest Conference on Cognition and Memory at Simon Fraser University. Poster
  • Anvari, N., Zhang, R., Hayre R., Volkanov A., Poe R., Mak Y., & Blair, M.R. (2017). Perceptual Costs of Reacting to New Visual Environments in a Dynamic Video Game. Northwest Conference on Cognition and Memory at Simon Fraser University. Poster
  • Chen, Y., Barrett, R., Byliris, R., Tracey, T., Fischler, K., McColeman, C., & Blair, M. R. (2017). Efficient Information Access in a Dynamic Visual Environment. Northwest Conference on Cognition and Memory at Simon Fraser University. Poster
  • Blair, M. R., Barnes, J. I., Walshe, R. C., & Tupper, P. (2016). Tempus, a New Model of Learning and Attention in Categorization that Is Active, Neural and Temporal. Talk given at the 57th Meeting of the Psychonomic Society. Boston, MA.
  • Thompson, J. J., McColeman, C. M., Blair, M. B., & Henrey, A. J. (2016). The Diversity of Motor Sequencing In Skilled Video Game Performance. Presented at the Northwest Conference on Cognition and Memory, Vancouver, BC.
  • McIntyre, D. L., Harrison, S. M., Wang H., Barnes J. I. & Blair, M. R. (2016). How are covert attention and learning related? Northwest Conference on Cognition and Memory at the University of British Columbia. Poster.
  • Barnes, J. I., Blair, M. R., Tupper, P. & Walshe, R. C. (2015). A dynamic neural field model of selfregulated eye movements during category learning. In Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 148-153). Austin, TX: Cognitive Science Society. Poster.
  • McColeman, C. M. & Blair, M. R. (2014). The importance of task relevance in predicting saccade velocity. Canadian Psychological Association Annual Convention. Poster.
  • Barnes, J. I., McColeman, C. M., Stepanova, E., Blair, M. R. & Walshe, R. C. (2014). RLAttn: An actor-critic model of eye movements during category learning. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1892-197). Austin, TX: Cognitive Science Society. Poster.
  • Barnes, J. I. (2014). Associations Between Population Coded Information Open Up The Possibility Of Category Fields. Paper presented at the 75th Annual Canadian Psychological Association Convention. Vancouver, Canada. Talk.
  • Barnes, J. I. (2014). Barnes, J. I., & Blair, M. R. (2014). The Influence of Space and Relevance on Eye Movement Distributions. Northwest Conference on Cognition and Memory at the University of Victoria. Poster.
  • Barnes, J. I., Walshe, R. C., Tupper, P. F., & Blair, M. R. (2013) A dynamic neural field model of eye movements during category learning tasks. Learning to Attend, Attending to Learn: Neurological, Behavioural, and Computational Perspective. Poster
  • Thompson, J., Blair, M. R., & Henrey, A. J. Analysis of telemetry data suggests cognitive motor decline at 24 years. 75th Annual Canadian Psychological Association Convention, Vancouver, 2014.
  • Blair, M. R., Thompson, J., Chen, L., & Henrey, A. J. Telemetric video game data cast doubt on the presumption that skill development is an orderly process. 75th Annual Canadian Psychological Association Convention, Vancouver, 2014.
  • Thompson, J., & Blair, M. B. (2014). Basic Science With Clear Applications: Video-game Telemetry Data Enables a New Drosophilia for the Cognitive Sciences. Paper presented at Games User Research workshop at the 2014 Conference on Human Factors in Computing Systems.
  • Thompson, J., Blair, M. B., & Henrey, A. J. Analysis of telemetry data suggests cognitive motor decline at 24 years. 75th Annual Canadian Psychological Association Convention, Vancouver, 2014.
  • Blair, M. B., Thompson, J., Chen, L., & Henrey, A. J. (2014). Telemetry data and machine learning techniques allow for a new methodology in the study of expertise, and cast doubt on an old one.  Association for Psychological Science annual conference, San Francisco.
  • Thompson, J., Blair, L., & Henrey, A. J. (2014). Age-related slowing on a real world task after 24: results from the analysis of video game telemetry data. Poster at Association for Psychological Science annual conference, San Francisco.
  • Barnes, J. I., Blair, M. R., Tupper, P. F., &  Walshe, R. C. (2013) Adult Category Learning Differences Predicted by a Dynamic Neural Field Theory Account of Information Sampled from the Fovea. Proceedings of the 33rd Annual Meeting of the Cognitive Science Society. Member abstract/poster
  • Chen, L., Meier, K., Blair, M. R., Watson, M.  (2012). Temporal characteristics of information access in categorization tasks. Northwest Cognition and Memory, Vancouver, BC. – PDF
  • McColeman, C. M., & Blair, M. R. (2012). Salience, similarity & categorization. Northwest Cognition and Memory, Vancouver, BC. – PDF
  • McColeman, C. M., Ancell, A. J., & Blair, M. R. (2011). The effect of probabilistic feedback on attentional learning. Northwest Cognition and Memory, Vancouver, BC. – PDF
  • Barnes, J. I., Blair, M. R., Walshe, R. C., Chen, L., & McColeman, C. M. (2011). Modeling the relationship between error and attention. Northwest Cognition and Memory, Vancouver, BC. – PDF
  • McColeman, C. ., Ancell, A. J., & Blair, M. B. (2011). A tale of two processes: Categorization accuracy and attention dissociate with imperfect feedback.  33rd Annual Conference of the Cognitive Science Society, Boston, MA. – PDF
  • Meier, K. M., & Blair, M. R. (2011). Eye-tracking and mouse-tracking reveal information access strategies in category learning. Northwest Cognition and Memory, Vancouver, BC. – PDF
  • Blair, M. R., Meier, K. M., & Fry, M. D. (2010). Eyetracking, working memory, and category learning. Symposium presentation at the 32nd Annual Conference of the Cognitive Science Society, Portland, OR. – PDF
  • Wood, M. J., Fry, M. D., & Blair, M. R., (2010). The Price is Right: A High Information Access Cost Facilitates Category Learning. 32nd Annual Conference of the Cognitive Science Society, Portland, OR. – PDF
  • Watson, M. R. (2010). Over and underestimating the importance of error processing in categorization. Symposium presentation at the 32nd Annual Conference of the Cognitive Science Society, Portland, OR. – PDF
  • Chen, L., Meier, K. M., Wood, M. J., & Blair, M. R. (2009). Attention Optimization in Rule-based and Information Integration Category Learning. Northwest Cognition and Memory, Victoria, BC. – PDF
  • Blair, M. R., & Watson, M. R. (2008). Attentional Allocations During Feedback In Category Learning. Presentation accepted for delivery at the Psychonomic Society. – PDF
  • Walshe, R. C., Blair, M. R., Malhi, L., & Wood, M. J. (2008). Eye tracking reveals error free optimization of attention that violates the assumptions of many theories of category learning. Northwest Cognition and Memory, Seattle WA. – PDF Powerpoint
  • Watson, M. R., & Blair, M. R. (2008). Eye tracking studies of attentional allocation during feedback. Northwest Cognition and Memory, Seattle WA. – PDF Powerpoint
  • Wood, M. J., Chen, L., & Blair, M. R. (2008). Space aliens and eye-trackers: A study of selective attention and memory for category exemplars. Northwest Cognition and Memory, Seattle WA. – PDF Powerpoint
  • Blair, M. R., Watson, M. R., Maj, F., & Walshe, R. C. (2007). Extremely Selective Attention: Eye-tracking Studies on Dynamic Attentional Allocation to Stimulus Features. Psychonomic Society Annual Meeting, Long Beach, CA. – PDF
  • Walshe, R. C., Maj, F., Shimell, J., Watson, M. R., Smith, S., & Blair, M. (2007). Eyetracking reveals patterns of selective attention that violate assumptions of many theories of category learning. Northwest Cognition and Memory, Burnaby, B.C., Canada. – Powerpoint