Charles Yang Department of Linguistics University of Pennsylvania The Linguistic Basis of Natural Number Only humans learn language and only humans develop the concept of natural number: How are these two abilities related? We propose that the Successor Function, which provides the infinity of natural numbers, becomes available to children through learning the […]
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Catherine Hartley Department of Psychology NYU Developmental tuning of action selection Computational reinforcement learning models provide a framework for understanding how individuals can evaluate which actions are beneficial and which are best avoided. To date, these models have primarily been leveraged to understand learning and decision-making in adults. In this talk, I will […]
Jane Wang Department of Physics Cornell University Insect Flight: from Newton’s law to Neurons Insects are the first evolved to fly, and to fly is not to fall. How does an insect fly, why does it fly so well, and how can we infer its ‘thoughts’ from its flight dynamics? We have been […]
Kostas Daniilidis Department of Computer and Information Science University of Pennsylvania Geometry-aware deep learning: Equivariant representations for 3D recognition, pose, and motion Traditional convolutional networks have shown unprecedented success in supervised classification yet they are still vulnerable to 3D geometric transformations in their inputs. While data augmentation might alleviate the intrinsic lack of […]
John Krakauer C. Malone Professor of Neurology, Neuroscience, & Physical Medicine and Rehabilitation Johns Hopkins University What does Neuroscience want to know? What does it mean to ask “How does the brain work?” or “What is the neural basis for cognition?” The argument I will make is that mind answers and brain answers are […]