Michael J. Wenger
Professor, Psychology 2 Partners Place Suite 100 405-325-0770 Michael.J.Wenger at ou dot edu https://ouvnl.oucreate.com Ph.D., Experimental Psychology - State University of New York at Binghamton, 1994Research:
Our work emphasizes the combined application of behavioral and electroencephalographic (EEG) methods, using the methods of computational neuroscience to link these variables.There are currently four major areas of emphasis in our lab:1. Effects of brain iron deficiency and repletion on perception, memory, and cognition: In this line of work we are documenting (using a combination of behavioral, EEG, and MRI measures) the extent to which iron deficiency produce measurable, and correctable, changes in basic perceptual, mnemonic, and cognitive abilities. In addition, we are testing hypotheses regarding the effect of iron depletion and repletion on specific cortical and sub-cortical circuits that support learning, memory, and the interaction of attention with memory.
2. The effects of diabetic retinopathy on the perception and memory of faces: Difficulties perceiving and remembering faces are associated with many diseases of the eye, including age-related macular degeneration and glaucoma, and difficulties in face processing are often early indicators of damage to the eye. However, difficulties with face processing in diabetic retinopathy have been studied only rarely so little is known about prevalence and severity of deficits in facial perception and memory in individuals with diabetic retinopathy. This project will assess prevalence and severity in a large sample of individuals with diabetic retinopathy and will use advanced psychophysical and mathematical modeling approaches in a detailed study with a smaller sample.
3. Behavioral regularities and neural mechanisms of perceptual learning: This work is pursuing three broad goals. The first is to provide simultaneous behavioral and neurophysiological evidence capable of supporting or refuting hypotheses of multiple, simultaneously-available levels of coding in visual perceptual learning. The second is to develop computational, biophysically-constrained models of the networks that support visual perceptual learning and its expression. The third is to test the hypothesis that visual perceptual learning can mitigate or alleviate the other race bias in memory.
4. Theoretical and empirical characterizations of perceptual organization (configurality): Our lab, in partnership with Jim Townsend's lab at Indiana University, is pursuing a linked theoretical and empirical program aimed at developing and testing general, theoretically-grounded definitions of configurality, with a particular interest in facial perception and memory.
We, along with Dr. Han Yuan in OU's School of Biomedical Engineering, also have a line of work with collaborators at the OU Health Sciences Center. Our collaborators include Dr. Anna Csiszar, Dr. Doris Benbrook, Dr. Dee Wu, Dr. Darla Kendzor, and Dr. Jason Oliver and our efforts include the effects of iron levels at menopause on the risk of developing neurodegenerative disorders, the effects of variations in iron status on the integrity of dopaminergic signaling in women of reproductive age, the added burden of iron deficiency in women recovering from nicotine addiction, and the potentially-mediating role of iron deficiency anemia in cancer therapy related cognitive impairment ("chemo brain").Selected Publications:
Wenger, M. J., Townsend, J. T., and Newbolds, S. F. (2025) The Neurocognitive efficiency score: Derivation, validation, and application of a novel combination of concurrent electrophysiological and behavioral data. Cognitive, Affective, & Behavioral Neuroscience, https://doi.org/10.3758/s13415-025-01311-2.
Wenger, M. J., Townsend, J. T., and Ak, A. (2025) The Sequential categorization-identification paradigm (SCIP): A Paradigm for the concurrent testing of strong hypotheses regarding psychological representation and processing. Attention, Perception, & Psychophysics, https://doi.org/10.3758/s13414-025-03080-z.
Barnett, A. L., Wenger, M. J., Miles, P. Wu, D., Isingizwe, Z. R., Benbrook, D. M., and Yuan, H. (2025) Cognitive performance in relation to systemic and brain iron at perimenopause. Nutrients 17(5): 745.
Rhoten, S. E., Wenger, M. J., and De Stefano, L. E. (2024) Iron deficiency negatively affects behavioral measures of learning, indirect neural measures of dopamine, and neural efficiency. Cognitive, Affective, and Behavioral Neuroscience, https://doi.org/10.3758/s13415-024-01241-5.
Newbolds, S. F. & Wenger, M. J. (2024) Assessing the pattern electroretinogram as a proxy measure for dopamine in the context of iron deficiency. Nutritional Neuroscience 1-12.
Chesbro, G. A., Owens, C., Reese, M., De Stefano, L., Kellawan, J. M., Larson, D. J., Wenger, M. J., & Larson, R. D. (2024) Changes in brain activity immediately post-exercise indicate a role for central fatigue in the volitional termination of exercise. International Journal of Exercise Science 17: 220-234.
Barnett, A. L., Wenger, M. J., Yunus, F. M., Jalal, C., & DellaValle, D. M. (2023) The effect of iron-fortified lentils on blood and cognitive status among adolescent girls in Bangladesh. Nutrients 15: 5001.
Wenger, M. J., Murray-Kolb, L. E., Scott, S. P., Boy, E., and Haas, J. D. (2022) Modeling relationships between iron status, behavior, and brain electrophysiology: Evidence from a randomized study involving a biofortified grain in Indian adolescents. BMC Public Health 22: 1299.
Wenger, M. J. Townsend, J. T., De Stefano, L. A., and Lu , Y. (2021) Effects of shifts in response preferences on characteristics of representation and real-time processing: An application to the Hering illusion. Attention, Perception, & Psychophysics 84:101-123.
Ashby, F. G. and Wenger, M. J. (2021). Statistical decision theory. In F. G. Ashby, H. Colonius, & E. Dzhafarov (Eds.), New Handbook of Mathematical Psychology, Volume 3: Perceptual and Cognitive Processes. Cambridge University Press.