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…
Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Paper Topic: https://arxiv.org/abs/2102.01951 Zoom: https://columbiauniversity.zoom.us/j/94783759415?pwd=cTlDTDdCVk9vdEV0QzRKL0hKQW1Kdz09
Jennifer Groh
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Multiplexing multiple signals in neural codes: new statistical tools and evidence Abstract: How the brain represents multiple objects is mysterious. Sensory neurons are broadly tuned, producing overlap in the populations of neurons potentially activated by each object in the scene. This overlap raises questions about how distinct information is retained about each item. I…
Animal Behavior Video Analysis Working Group
CSB 453 Mudd Building, 500 W 120th StreetTitle: Brain Decodes Deep Nets Presenter: Jianbo Shi, PhD GRASP Laboratory Computer and Information Science University of Pennsylvania Abstract: We developed a surprising usage of brain encoding: using a brain fMRI prediction model to draw a picture of how a deep net processes information onto a brain. Our tool provides a detailed analysis of large pre-trained vision models…
Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Paper Topic: https://arxiv.org/abs/2302.03241 Zoom: https://columbiauniversity.zoom.us/j/94783759415?pwd=cTlDTDdCVk9vdEV0QzRKL0hKQW1Kdz09
Data Science Day 2024
Alfred Lerner Hall 2920 Broadway, New York, NY, United States"The Data Science Institute’s flagship annual event connects innovators in industry and government to Columbia researchers who are propelling advances across every sector with data science." If you are interested in the event please register on their event page.
Continual Learning Working Group
CEPSR 620 Schapiro 530 W. 120th StWeekly Meeting Group Discussion: Paper Topic: https://arxiv.org/abs/2309.10105 Zoom: https://columbiauniversity.zoom.us/j/94783759415?pwd=cTlDTDdCVk9vdEV0QzRKL0hKQW1Kdz09
Misha Tsodyks
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Putative synaptic theory of temporal order encoding in working memory (Joint work with Gianluigi Mongillo) Abstract: Overwhelming evidence indicates that working memory automatically encodes incoming stimuli in the correct presentation order. How this is achieved in the brain is however not well understood. We addressed this issue in the framework of our previously proposed synaptic theory,…
Automating Analysis in Biology Using AI, From Data to Discovery
Davis Auditorium 530 W 120th St, New York, NY 10027, New York, NYSpeaker: Markus Marks (Caltech) Title: Automating Analysis in Biology Using AI, From Data to Discovery Time and Place: Davis Auditorium, 11:40am, Tuesday April 9 Abstract: Thanks to improved sensors and decreasing data acquisition and storage costs, biologists are increasingly able to collect more and higher quality data. How can we harness the expanding capabilities of…