ARNI Annual Retreat

Faculty House 64 Morningside Dr

General Agenda October 21st, Day 1 from 8:45am to 5pm Breakfast and Lunch Provided Opening 3 Keynote Speakers from ARNI Faculty Research Brainstorming and Discussions Project/Student Poster Session Education and…

CTN: Tatiana Engel

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: Unifying neural population dynamics, manifold geometry, and circuit structure. Abstract: Single neurons show complex, heterogeneous responses during cognitive tasks, often forming low-dimensional manifolds in the population state space. Consequently, it is…

CTN: Naureen Ghani

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: Mice wiggle a wheel to boost the salience of low visual contrast stimuli Abstract: From the Welsh tidy mouse to the New York City pizza rat, movement belies rodent intelligence. We show that head-fixed…

CTN: Jacob Macke

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: Building mechanistic models of neural computations with simulation-based machine learning Abstract: Experimental techniques now make it possible to measure the structure and function of neural circuits at an unprecedented scale and…

ARNI Seminar Series Kick Off: Speaker Jim DiCarlo

Zuckerman Institute - L7-119 3227 Broadway, New York, NY, United States

Title: Do contemporary, machine-executable models (aka digital twins) of the primate ventral visual system unlock the ability to non-invasively, beneficially modulate high level brain states? Abstract: In this talk, I…

CTN: Tanya Sharpee

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Seminar Time: 11:30am Date: 11/8/2024 Location: JLG, L5-084  Host: Krishan Kumar   Title: Building mechanistic models of neural computations with simulation-based machine learnin

Continual Learning Working Group: Nikita Rajaneesh

CEPSR 6LW4 Computer Science Department 500 West 120 Street

Title: Wandering Within a World A discussion on Wandering Within a World: Online Contextualized Few-Shot Learning, this 2021 paper by our very own Rich Zemel leverages contextual information in a…

CTN: Catherine Hartley

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: TBD Abstract: TBD

CTN: Seminar Speaker Alessandro Ingrosso

Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United States

Title: Statistical mechanics of transfer learning in the proportional limit Abstract: Transfer learning (TL) is a well-established machine learning technique to boost the generalization performance on a specific (target) task…

CTN Seminar: Andrew Leifer

Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States

Title: TBD Abstract: TBD

Continual Learning Working Group: Lea Duncker

CEPSR 620 Schapiro 530 W. 120th St

Title: TBD Abstract TBD: Zoom Link: https://columbiauniversity.zoom.us/j/97176853843?pwd=VLZdh6yqHBcOQhdf816lkN5ByIpIsF.1