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Jordan Barnes
Jordan Barnes
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Title
Cited by
Cited by
Year
Learning-induced changes in attentional allocation during categorization: A sizable catalog of attention change as measured by eye movements
CM McColeman, JI Barnes, L Chen, KM Meier, RC Walshe, MR Blair
PloS one 9 (1), e83302, 2014
332014
Is my test valid? Guidelines for the practicing psychologist for evaluating the psychometric properties of measures
KL Slaney, JE Storey, J Barnes
International Journal of Forensic Mental Health 10 (4), 261-283, 2011
152011
Digit eyes: Learning-related changes in information access in a computer game parallel those of oculomotor attention in laboratory studies
C McColeman, J Thompson, N Anvari, SJ Azmand, J Barnes, RCA Barrett, ...
Attention, Perception, & Psychophysics 82, 2434-2447, 2020
62020
A dynamic neural field model of self-regulated eye movements during category learning.
JI Barnes, MR Blair, PF Tupper, RC Walshe
CogSci, 2015
42015
Rethinking the role of error in attentional learning
M Blair, C Walshe, J Barnes, L Chen
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
42011
RLAttn: An actor-critic model of eye movements during category learning
JI Barnes, C McColeman, E Stepanova, MR Blair, RC Walshe
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
32014
When “good enough” is just not good enough: Response to Holden and Marjanovic
KL Slaney, JE Storey, J Barnes
International Journal of Forensic Mental Health 10 (4), 290-294, 2011
22011
LAG-1: A dynamic, integrative model of learning, attention, and gaze
J Barnes, MR Blair, RC Walshe, PF Tupper
Plos one 17 (3), e0259511, 2022
12022
A modeling link between cognitive and biological homeostasis.
GW Jenkins, JI Barnes, PF Tupper, MR Blair
CogSci, 2017
12017
The Influence of Space and Relevance on Eye Movement Distributions
JI Barnes, MR Blair
Northwest Conference on Cognition and Memory, 2014
12014
A modeling link between cognitive and biological homeostasis
P Tupper, J Barnes, M Blair
OSF, 2023
2023
How time spent on feedback influences learning and gaze in categorizationtraining
K Dolguikh, J Barnes, T Tracey, M Blair
Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019
2019
Measuring the Hebbian Components of Selective Attention Using Eye-Tracking and Dynamic Field Theory (Dynamic Field Theory, Eye-tracking, Hebbian Learning, Neural Networks).
JI Barnes
Library and Archives Canada= Bibliothèque et Archives Canada, Ottawa, 2014
2014
Adult Category Learning Differences Predicted by a Dynamic Neural Field Theory Account of Information Sampled from the Fovea.
JI Barnes, MR Blair, PF Tupper, RC Walshe
CogSci, 2013
2013
Measuring the Hebbian components of selective attention using eye-tracking and dynamic field theory
JI Barnes
Simon Fraser University, 2012
2012
Fluid Learning
J Barnes
2009
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Articles 1–16