McMahon, E., Bonner, M. F., & Isik, L. A large-scale, naturalistic dataset of two-person social actions. Vision Science Society; May 21 - 26; virtual.
Vaziri-Pashkma, M., Woodward, K., McMahon, E., & Ungerleider, L.G. Representations for Grasp Relevant Parts of Objects in the Human Intraparietal Sulcus. Vision Science Society; June 19 - 24, 2020; Online.
Woodward, K., McMahon, E., Vaziri-Pashkma, M., & Ungerleider, L.G. Similarity of objects based on the way they are grasped. Vision Science Society; June 19 - 24, 2020; Online.
McMahon, E., Zheng, C. Y., Pereira, F., Gonzalez, R., Ungerleider, L.G., & Vaziri-Pashkam, M. Humans and Machine Learning Classifiers Can Predict the Goal of an Action Regardless of Social Motivations of the Actor. Vision Science Society; May 17 - 22, 2019; St. Petersburg, FL.
McMahon, E., Zheng, C. Y., Pereira, F., Gonzalez, R., Ungerleider, L.G., & Vaziri-Pashkam, M. Exploring Predictive Information in Action with Psychophysics and Machine Learning. Society for Neuroscience; Nov. 3 - 7, 2018; San Diego, CA.
McMahon, E., Gonzalez, R., Nakayama, K., Ungerleider, L.G., & Vaziri-Pashkam, M. Understanding Action Prediction with Machine Learning and Psychophysics. Conference on Cognitive Computational Neuroscience; Sept. 5 – 8, 2018; Philadelphia, PA.
Corbetta, D., Wiener, R.F., McMahon, E., & Thurman, S.L. Duration of object visual encoding on precision reaching in 9-month-old infants. International Congress of Infant Studies, June 30 – July 3, 2018; Philadelphia, PA.
McMahon, E., Wiener, R., DiMercurio, A., Connell, J., and Corbetta, D. An Analysis of Prospective Reaching in 9-Month-Old Infants Using Eye-Tracking. North American Society for Psychology of Sport and Physical Activity; June 4 – 7, 2017; San Diego, CA.