Peter Clayson

Peter Clayson

Assistant Professor


Office: PCD 4110
Phone: 813/974-6480



  • 2019   Postdoctoral Fellow, Desert Pacific Mental Illness Research, Education, and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles, CA
  • 2017    Ph.D. in Clinical Psychology, Minors in Behavioral Neuroscience and Quantitative Psychology, University of California, Los Angeles, Los Angeles, CA
  • 2012    M.A.  in Psychology, University of California, Los Angeles, Los Angeles, CA
  • 2010    B.S. in Psychology - Clinical Emphasis, Brigham Young University, Provo, UT


2017-2019   Assistant Project Scientist, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA


Undergraduate Research Methods
Clinical Supervision


My research applies findings from cognitive and affective neuroscience to examine adaptive control in healthy participants and psychopathology. Adaptive control refers to how the brain coordinates cognitive, emotional, and physiological processes to identify problems in the environment and optimize goal-directed behavior. Adaptive control dysfunction is evident in numerous clinical disorders, and my research cuts across diagnostic boundaries to understand this dysfunction and its impact on behavior. My research examines healthy and clinical populations to answer these questions: How well do models of adaptive control predict performance? How do variations in adaptive control contribute to psychopathology? Can adaptive control be improved in psychopathology, leading to benefits in functional outcome? I primarily answer these questions using studies of event-related brain potentials (ERPs).

In support of the above work, I support the application of psychophysiological measurements to studies of individual differences by offering evidence to mobilize the field to evaluate ERPs psychometrically. Biological measurements are constrained by the same fundamental psychometric principles as self-report measurements, but these principles receive little or no attention in studies of psychophysiology. This lack of attention to psychometrics limits the more widespread application of psychophysiological findings to clinical or intervention research. Therefore, I seek to apply rigorous measurement theory to understanding the psychometric characteristics of event-related brain potentials (ERPs) and other psychophysiological measurements in healthy and clinical samples. By ensuring that clinical psychophysiological research is grounded in psychometric principles, this work fosters a better understanding, diagnosis, and treatment of mental illness, because strong psychometric characteristics is a precondition for between-subjects measurement comparison.




Clayson, P. E., Joshi, Y. B., Thomas, M. L., Tarasenko, M., Bismark, A., Sprock, J., Nungaray, J., Cardoso, L., Wynn, J. K., Swerdlow, N. R., & Light, G. A. (in press). The viability of the frequency following characteristics for use as biomarkers of cognitive therapeutics in schizophrenia. Schizophrenia Research. doi: 10.1016/j.schres.2021.06.022

Clayson, P. E., Baldwin, S. A., & Larson, M. J. (2021). Evaluating the internal consistency of subtraction-based and residualized difference scores: Considerations for psychometric reliability analyses of event-related potentials. Psychophysiology, 58, e13762. doi: 10.1111/psyp.13762

Clayson, P. E., Brush, C. J., & Hajcak, G. (2021). Data quality and reliability metrics for event-related potentials (ERPs): The utility of subject-level reliability. International Journal of Psychophysiology, 165, 121-136. doi: 10.1016/j.ijpsycho.2021.04.004

Fournier, L. F., McDonald, J. B., Clayson, P. E., & Verona, E. (2021). Psychopathic traits, inhibition, positive and negative emotion: Results from an emotional Go/No-Go Task. Psychophysiology, 58, e13815. doi: 10.1111/psyp.13815

Clayson, P. E., Carbine, K. A., Baldwin, S. A., Olsen, J. A., & Larson, M. J. (2021). Using generalizability theory and the ERP Reliability Analysis (ERA) Toolbox for assessing test-retest reliability of ERP scores Part 1: Algorithms, framework, and implementation. International Journal of Psychophysiology, 166, 174-187. doi: 10.1016/j.ijpsycho.2021.01.006

Clayson, P. E., Wynn, J. K., Infantolino, Z. P., Hajcak, G., Green, M. F., & Horan, W. P. (2019). Reward processing in certain versus uncertain contexts in schizophrenia: An event-related potential (ERP) study. Journal of Abnormal Psychology, 128, 867-880. doi: 10.1037/abn0000469

Clayson, P. E., Carbine, K. A., & Larson, M. J. (2020). A registered report of error-related negativity and reward positivity as biomarkers of depression: P-curving the evidence. International Journal of Psychophysiology, 150, 50-72. doi: 10.1016/j.ijpsycho.2020.01.005