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CTN: Naomi Leonard
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Fast and Flexible Group Decision-Making Abstract: A wide range of animals live and move in groups. Many animals do better in groups than alone when, for example, foraging for…
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ARNI Continual Learning Working Group Project
CSB 480 Mudd Building, 500 W 120th StreetMonday (9/15) the Continual Learning Group will have a presentation from group member Yunfan Zhang. Yunfan will be sharing his ongoing work on developing a continual learning benchmark based on…
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CTN: Dani Bassett
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD Zoom: Meeting ID: 993 3345 6502 Passcode: Upon request @ [email protected]
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ARNI Continual Learning Working Group Project
CSB 480 Mudd Building, 500 W 120th StreetZoom Link: Upon request @ [email protected]
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CTN: Ann Kennedy
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Neural computations underlying the regulation of motivated behavior Abstract: As we interact with the world around us, we experience a constant stream of sensory inputs, and must generate a constant stream…
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ARNI Continual Learning Working Group Project
CEPSR 620 Schapiro 530 W. 120th StNext Monday, September 29, we will continue our fall semester program with a group workshop on the topic of neural memory models. First, we will have a presentation from group…
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CTN: Reza Shadmehr
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
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ARNI Biological Learning Working Group
Biological Learning first fall 2025 working group session of the year! Pingsheng Li, PhD student with Blake Richards at MILA, will be presenting Log-Normal Multiplicative Dynamics for Stable Low-Precision Training…
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ARNI Frontier Models for Neuroscience and Behavior Working Group
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle: OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Abstract: Scaling data and artificial neural networks has transformed AI, driving breakthroughs in language and vision. Whether…
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CTN: Maryam Shanechi
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Dynamical models of neural-behavioral data with application to AI-driven neurotechnology Abstract: A major challenge in neuroAI is to model, decode, and modulate the activity of large populations of neurons…
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CTN: Ilana Witten
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
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Speaker: Jascha Achterberg ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle: Building the brain’s efficient system-level architecture: optimisations across space, time, and multiple regions Abstract: The computations a brain can perform are fundamentally constrained by physical realities: energetic resources are limited, and time is precious. To understand why the brain works the way it does, we must understand its function in the context of these…
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