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SUMMARY:Biological Learning Working Group Meeting
DESCRIPTION:Continuation of the prior meeting. \nZoom: Upon request @arni@columbia.edu
URL:https://arni-institute.org/event/biological-learning-working-group-meeting/
LOCATION:Virtual
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DTSTART;TZID=America/New_York:20250715T180000
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SUMMARY:AI and Neuroscience/Cognitive Science Activities Brainstorming
DESCRIPTION:ARNI will host an informal brainstorming session on July 15th (ZI Education Lab) focused on developing AI and neuroscience/cognitive science activities for K–12 students. The goal is to create engaging ways to help young learners better understand the brain and artificial intelligence. Trainees are encouraged to attend—if you’re interested in making an impact on youth education\, this is a great opportunity to get involved. Join if you are free! There will be free pizza! \nThis is the registration form!
URL:https://arni-institute.org/event/ai-and-neuroscience-cognitive-science-activities-brainstorming-2/
LOCATION:NY
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DTSTART;TZID=America/New_York:20250730T140000
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SUMMARY:Speaker: Memming Park  – ARNI Frontier Models for Neuroscience and Behavior Working Group
DESCRIPTION:Title: Meta-dynamical state space modeling for integrative neural data analysis \nAbstract:\nUncovering the organizing principles of neural systems requires integrating information across diverse datasets—each alone offering a limited view and signal-to-noise ratio\, but together revealing coherent dynamical structures. We present a meta-dynamical state-space modeling framework that learns a shared solution space of neural dynamics from heterogeneous recordings across sessions\, animals\, and tasks. By capturing cross-dataset similarity and variability on a low-dimensional manifold that spans a space of dynamical systems\, our approach enables few-shot inference\, rapid adaptation to new recordings\, and discovery of latent dynamical motifs that underlie behavior. We demonstrate its utility in modeling motor cortex activity\, revealing dynamics that generalize across individuals and track the change in dynamics during learning. We argue that for understanding neural computation and real-time neuroscience applications\, our approach is well-suited as a foundation model for integrative neuroscience. \nZoom: Request @arni@columbia.edu
URL:https://arni-institute.org/event/speaker-memming-park-arni-frontier-models-for-neuroscience-and-behavior-working-group/
LOCATION:Zuckerman Institute – L3-079\, 3227 Broadway\, New York\, NY\, 10027\, United States
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