Events
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Speaker: Dr. Guillaume Lajoie – ARNI Frontier Models for Neuroscience and Behavior Working Group
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle: POSSM: Generalizable, real-time neural decoding with hybrid state-space models Abstract: Real-time decoding of neural spiking data is a core aspect of neurotechnology applications such as brain-computer interfaces, where models are subject to strict latency constraints. Traditional methods, including simple recurrent neural networks, are fast and lightweight but are less equipped for generalization to unseen…
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CTN: Blake Richards
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Brain-like learning with exponentiated gradients Abstract: Computational neuroscience relies on gradient descent (GD) for training artificial neural network (ANN) models of the brain. The advantage of GD is that…
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Biological Learning Working Group Meeting
VirtualContinuation of the prior meeting. Zoom: Upon request @[email protected]
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AI and Neuroscience/Cognitive Science Activities Brainstorming
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…
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Speaker: Memming Park – ARNI Frontier Models for Neuroscience and Behavior Working Group
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle: Meta-dynamical state space modeling for integrative neural data analysis Abstract: Uncovering the organizing principles of neural systems requires integrating information across diverse datasets—each alone offering a limited view and…
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Speaker: Kwabena Boahen ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: From 2D Chips to 3D Brains Abstract: Artificial intelligence (AI) realizes a synaptocentric conception of the learning brain with dot-products and advances by performing twice as many multiplications every…
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Speakers: Vinam Arora and Ji Xia – ARNI Frontier Models for Neuroscience and Behavior Working Group
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle and Abstracts: 1st Speaker: Vinam Arora, UPenn Title: Know Thyself by Knowing Others: Learning Neuron Identity from Population Context Abstract: Identifying the functional identity of individual neurons is essential…
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CTN: Christine Constantinople
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Neural circuit mechanisms of value-based decision-making Abstract: The value of the environment determines animals’ motivational states and sets expectations for error-based learning. But how are values computed? We developed…
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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: 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]