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 […]
Events
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 […]
Canaan Breiss Department of Linguistics University of Southern Carolina Token frequency in the grammar: evidence from Japanese voiced velar nasalization This talk examines how token frequency influences an optional paradigm uniformity effect in Japanese voiced velar nasalization. We report two wug-tests demonstrating the frequency-conditioning observed by Breiss et al. (2021b) in corpus data is reproduced […]