Neuroscience and Cognitive Science
Mathematical foundations for learning agents
Abstract: Learning agents, which include humans and (ideally) AI agents, take actions in the world and learn from the outcomes. I will present our recent efforts toward an integrated theory of learning agents, focusing on cooperative communication as an extended case study. I will close with interesting applications and implications.
Everything undergraduate students need to know about seeking a research position for experience! Pizza will be provided by NACS!
We encourage students from marginalized backgrounds to attend! Please contact Claire Morse at cmorse@umd.edu with any questions.
RSVP here by April 8th
Understanding Neural Entrainment Using Noninvasive Brain Stimulation
Diversity in Language Science Expands Our Understanding of Human Sentence Processing
Talk with faculty host Dr. Jared Novick
Investigating effects of stimulus type and selective attention on the subcortical encoding of sounds
Behavioral and neural signatures of approximate hierarchical inference
What the fly's eye tells the fly's brain... and beyond: A journey through the Fly Connectome
Dr. Gwyneth Card is an Associate Professor of Neuroscience; Principal Investigator at Columbia's Zuckerman Institute; Investigator at the Howard Hughes Medical Institute
Understanding visual representations in human occipito-temporal and posterior parietal cortices and convolutional neural networks
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