2022 - 2024 Department of Psychology, Concordia University Wisconsin, Mequon, WI
2016 - 2022 Yamauchi Cognition Lab, Texas A&M University, College Station, TX
2014 - 2016 Louisiana Music & Psychology Lab, University of Louisiana, Lafayette, LA
2009 - 2013 Cognitive Research Lab, Higher School of Economics, Moscow, Russia
Razavi, M., Janfaza, V., Yamauchi, T., Leontyev, A., Longmire-Monford, S., & Orr, J. (2022). “Opensync: An open-source platform for synchronizing multiple measures in neuroscience experiments.” Journal of Neuroscience Methods, 369, 109458.
Leontyev, A., & Yamauchi, T. (2021). “Discerning mouse trajectory features with the drift diffu- sion model.” Cognitive Science, 45 (10), e13046.
Leontyev, A., & Yamauchi, T. (2019). “Mouse movement measures enhance the stop-signal task in adult adhd assessment.” PLOS ONE, 14 (11), 1–31.
Leontyev, A., Sun, S., Wolfe, M., & Yamauchi, T. (2018). “Augmented go/no-go task: Mouse cursor motion measures improve adhd symptom assessment in healthy college students.” Frontiers in Psychology, 9, 496.
Yamauchi, T., Leontyev, A., & Wolfe, M. (2017). “Choice reaching trajectory analysis as essential behavioral measures for psychological science.” Insights in Psychology, 1 (4), 1.
Yamauchi, T., Leontyev, A., & Razavi, M. (2019). “Mouse tracking measures reveal cognitive conflicts better than response time and accuracy measures.” Proceedings of the 41st Annual Conference of the Cognitive Science Society, 3150–3156.
Yamauchi, T., Leontyev, A., & Razavi, M. (2019). “Assessing emotion by mouse-cursor tracking: Theoretical and empirical rationales.” 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII).
Leontyev, A., Yamauchi, T., & Razavi, M. (2019). “Machine learning stop signal test (ml-sst): Ml- based mouse tracking enhances adult adhd diagnosis.” 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 1–5.
Yamauchi, T., & Leontyev, A. (2018). “Hbu: Human behavior understanding by choice reaching.” Proceedings of the 40th Annual Conference of the Cognitive Science Society.
Leontyev, A., & Yamauchi, T. (2023). Core components of emotional impulsivity: A mouse-tracking study [Poster session presented at the 95th Midwestern Psychological Association Annual Meeting, Chicago, IL].
Leontyev, A., & Yamauchi, T. (2023). Core components of emotional impulsivity: A mouse-tracking study [Poster session presented at the 2022 Society for Neuroscience Upper Midwest Chapter Annual Conference, Green Bay, WI].
Leontyev, A., & Yamauchi, T. (2020). Discerning mouse trajectory features with the drift diffusion model [Poster session presented at the 2020 Annual Meeting of the Society for Computation in Psychology (SCiP)].
Leontyev, A., Yamauchi, T., & Razavi, M. (2020). Machine learning-based mousetracking enhances adult adhd diagnosis [Poster session presented at the 2020 Annual Meeting of the Society for Computation in Psychology (SCiP)].
Leontyev, A., Razavi, M., & Yamauchi, T. (2020). Predicting adhd questionnaire scores from motor behavior using machine learning in python [Poster session presented at the 2020 SciPy conference].
Saenz, G., Smith, S., & Leontyev, A. (2019). Is there a metacognitive “trait”? investigating indi- vidual differences in performance predictions [Poster session presented at the 60th annual meeting of the Psychonomics Society, Montreal, Quebec, Canada].
Saenz, G., Smith, S., & Leontyev, A. (2019). Is there a metacognitive “trait”? investigating individual differences in performance predictions [Poster session presented at the 27th Annual Southwest Cognition and Cognitive Neuroscience Society Conference, San Antonio, TX].
Yamauchi, T., Leontyev, A., & Razavi, M. (2019). Mouse tracking measures reveal cognitive conflicts better than response time and accuracy measures [Poster session presented at the 41st Annual Conference of the Cognitive Science Society. Montreal, Quebec, Canada].
Leontyev, A., & Yamauchi, T. (2018). Mouse movement measures improve ssrt in impulsivity assessment [Poster session presented at the 59th annual meeting of the Psychonomics Society, New Orleans, LA].
Yamauchi, T., & Leontyev, A. (2018). Mouse-cursor motion measures are sensitive to individual differences in executive functions [Poster session presented at the 59th annual meeting of the Psychonomics Society, New Orleans, LA].
Yamauchi, T., & Leontyev, A. (2018). Assess mental disorders with the movement of the computer cursor [Poster session presented at Computational Psychiatry 2018, San Diego, CA].
Leontyev, A., & Yamauchi, T. (2018). Mouse movement measures improve ssrt in impulsivity assessment [Poster session presented at the 26th Annual Southwest Cognition and Cognitive Neuroscience Society Conference, Houston, TX].
Yamauchi, T., & Leontyev, A. (2018). Hbu: Human behavior understanding by choice reaching [Poster session presented at the 40th Annual Conference of the Cognitive Science Society, Madison, WI].
Leontyev, A., Sun, S., Wolfe, M., & Yamauchi, T. (2018). Augmented go/no-go task: Cursor motion measures improve adhd assessment [Poster session presented at the 30th APS Annual Convention, San Francisco, CA].
Leontyev, A., Sun, S., Wolfe, M., & Yamauchi, T. (2017). Augmented go/no-go task: Cursor motion measures improve adhd assessment [Poster session presented at the 58th annual meeting of the Psychonomics Society, Vancouver, BC, Canada].
Leontyev, A., Sun, S., Wolfe, M., & Yamauchi, T. (2017). Augmented go/no-go task: Cursor motion measures improve adhd assessment [Poster session presented at the 25th Annual Southwest Cognition and Cognitive Neuroscience Society conference for Cognition and Cognitive Neuroscience, College Station, TX].
Leontyev, A. (2012). The influence of german psychology in the psychological concepts of southern europe [Poster session presented at the International Conference ”German Science in Southern Europe, 1933-45”, FCSH/NOVA, Lisbon, Portugal].
Dr. Leontyev pursued his Ph.D. in the field of Cognition and Cognitive Neuroscience.
His research interests include human-computer interaction; ADHD; motor control; machine learning & big data; and impulsivity.
Dr. Leontyev is a member of three professional psychology societies.