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Lowe, M., Teng, S., Mohsenzadeh, Y., Charest, I., Pantazis, D., & Oliva, A.. (2018). Temporal dynamics underlying sound discrimination in the human brain. In Conference on Cognitive Computational Neuroscience. http://doi.org/10.32470/CCN.2018.1090-0
Love, K., Velisar, A., & Shanidze, N.. (2021). Eye, Robot: Calibration Challenges and Potential Solutions for Wearable Eye Tracking in Individuals with Eccentric Fixation. In ACM Symposium on Eye Tracking Research and Applications (Adjunct, pp. 1-3). Association for Computing Machinery: New York, NY, USA. http://doi.org/10.1145/3450341.3458489
Lott, L., Haegerstrom-Portnoy, G., Schneck, M., & Brabyn, J.. (2005). Face Recognition in the Elderly. Optometry And Vision Science, 82(10), 874-81. http://doi.org/10.1097/01.opx.0000180764.68737.91
López-Moliner, J., Vullings, C., Madelain, L., & van Beers, R. J.. (2019). Prediction and final temporal errors are used for trial-to-trial motor corrections. Scientific Reports, 9(19230), 1-15. http://doi.org/https://doi.org/10.1038/s41598-019-55560-6
Likova, L. T. (2014). Learning-Based Cross-Modal Plasticity in the Human Brain: Insights from Visual Deprivation fMRI. Advanced Brain Neuroimaging Topics In Health And Disease-Methods And Applications, 327–358. http://doi.org/10.5772/58263

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