Animal Behavior Video Analysis Working Group
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Precise quantification of natural behavior with computer vision Abstract: To understand the neural control of movement, cognition, and social interaction, we need to precisely quantify motor behaviors. Deep learning tools now enable to extract meaningful behavioral signals from raw videos, in high spatiotemporal resolution. These technologies are gaining increasing adoption in system neuroscience and…
Animal Behavior Video Analysis Working Group
CSB 480 Mudd Building, 500 W 120th StreetTitle: Multimodal Learning from Pixels to People Presenter: Carl Vondrick Abstract: People experience the world through modalities of sight, sound, words, touch, and more. By leveraging their natural relationships and developing multimodal learning methods, my research creates artificial perception systems with diverse skills, including spatial, physical, logical, and cognitive abilities, for flexibly analyzing visual data. This multimodal…
Animal Behavior Video Analysis Working Group
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Mapping the landscape of social of social behavior using high-resolution 3D tracking of freely interacting animals Presenter: Ugne Klibaite, PhD Harvard University, Department of Organismic & Evolutionary Biology (PI, Bence P. Ölveczky) Abstract: Social interaction is a fundamental component of animal behavior. However, we lack tools to describe it with quantitative rigor, limiting our understanding of…
Generative AI Freespeech & Public Discourse
Forum Auditorium 601 W 125th St, New York, NY, United StatesARNI coPI Kathy McKeown and ARNI faculty Carl Vondrick participate in the Panel 1: Empirical and Technological Questions: Current Landscape, Challenges, and Opportunities Link: https://www.engineering.columbia.edu/symposium-generative-ai-free-speech-public-discourse Article: https://www.engineering.columbia.edu/news/navigating-generative-ai-and-its-impact-future-public-discourse?utm_source=newsletter&utm_medium=email&utm_campaign=highlights030124
Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Paper Topic: https://arxiv.org/abs/2302.00487 Zoom: https://columbiauniversity.zoom.us/j/3658091817?pwd=WHFJVzAwbDdQcFMzc2FreVplKzVMUT09
Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Paper Topic: https://arxiv.org/abs/2302.00487 Zoom: https://columbiauniversity.zoom.us/j/97515072030?pwd=VGJONXR6bW9LVTN3VlZZSXdRZnNIdz09
Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Paper Topic: https://arxiv.org/abs/1906.01076 Zoom: https://columbiauniversity.zoom.us/j/94783759415?pwd=cTlDTDdCVk9vdEV0QzRKL0hKQW1Kdz09
Rui Ponte Costa
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Brain-wide credit assignment: cortical and subcortical perspectives Abstract: The brain assigns credit to trillions of synapses remarkably well. How the brain achieves this feat is one of the great mysteries in neuroscience. Recently, we have introduced Bursting cortico-cortical networks, a computational model of hierarchical credit assignment that captures a large number of biological features while approximating…