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 […]

We will also stream this seminar via Zoom. For the link, please contact us:   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 […]

Vision Seminar: Thomas Serre

April 22, 2024
12:00 PM - 1:15 PM

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 […]

CNI Seminar: Michael Long

April 23, 2024
12:00 PM - 1:15 PM

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 […]