We will also stream this seminar via Zoom. For the link, please contact us: pennmindcore@sas.upenn.edu Grace Lindsay Assistant Professor of Psychology and Data Science NYU Modeling the neural mechanisms of attention in artificial neural networks Countless behavioral studies have demonstrated how validly-cued visual attention can enhance performance on challenging tasks. Neural recordings […]
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Dorothy Ahn Rutgers University Minimizing the: deriving building blocks of definiteness Definite expressions have been studied extensively in the semantics and pragmatics literature, with different division lines drawn between what goes in the lexical meaning of the expressions and what is derived from other conversational mechanisms. In this talk, I explore what empirical […]
Thomas Serre Cognitive & Psychological Sciences and Computer Science Departments Carney Center for Computational Brain Science Brown University Feedforward and feedback processes in visual reasoning The progress made in deep learning has led to significant achievements in various engineering applications. For instance, convolutional neural networks and transformer networks, two types of feedforward neural […]
Michael Long Professor, Department of Otolaryngology-Head and Neck Surgery Thomas and Suzanne Murphy Professor of Neuroscience and Physiology, Department of Neuroscience and Physiology NYU Using population recordings to uncover principles of neural circuit organization The Long laboratory uses a range of species to uncover properties of neural circuits that enable skilled behavior. In […]