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Multisensory Spatial Attention Deficits Are Predictive of Phonological Decoding Skills in Developmental Dyslexia., , , , , , , and . J. Cognitive Neuroscience, 22 (5): 1011-1025 (2010)Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions., and . Front. Comput. Neurosci., (2016)Paying Attention through Eye Movements: A Computational Investigation of the Premotor Theory of Spatial Attention., , , and . J. Cognitive Neuroscience, 24 (7): 1519-1531 (2012)Robust Large-Scale Localization in 3D Point Clouds Revisited., and . CoRR, (2015)Space coding for sensorimotor transformations can emerge through unsupervised learning., , , and . Cognitive Processing, 13 (Supplement-1): 141-146 (2012)A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images., , , , , and . Front. Neuroinform., (2019)Parallelization of Deep Networks., , and . ESANN, (2012)Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence., , , , and . IEEE Access, (2015)Through Neural Stimulation to Behavior Manipulation: A Novel Method for Analyzing Dynamical Cognitive Models., , and . Cognitive Science, 34 (3): 406-433 (2010)A Computational and Empirical Investigation of Graphemes in Reading., , and . Cognitive Science, 37 (5): 800-828 (2013)