Workshop
NeuroAI: Fusing Neuroscience and AI for Intelligent Solutions
Forough Habibollahi 路 Moein Khajehnejad 路 Adeel Razi 路 Jason Eshraghian 路 Noor Sajid 路 Anthony M Zador 路 Yoshua Bengio
West Ballroom B
Sat 14 Dec, 8:15 a.m. PST
Examining the fusion of neuroscience and AI, this workshop aims to unlock brain-inspired algorithms while advancing both biological and artificial intelligence.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Sat 8:15 a.m. - 8:25 a.m.
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Opening Remarks
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Intro
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SlidesLive Video |
馃敆 |
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Sat 8:25 a.m. - 8:40 a.m.
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Spotlight Talk 1
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Spotlight
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link
SlidesLive Video |
Ran Wei 馃敆 |
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Sat 8:40 a.m. - 8:55 a.m.
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Spotlight Talk 2
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Spotlight
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link
SlidesLive Video |
Jaedong Hwang 路 Zhang-Wei Hong 路 Eric Chen 路 Akhilan Boopathy 路 Pulkit Agrawal 路 Ila Fiete 馃敆 |
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Sat 8:55 a.m. - 9:10 a.m.
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Spotlight Talk 3
(
Spotlight
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>
link
SlidesLive Video |
Mohammed Osman 路 Kai Fox 路 Joshua Stern 馃敆 |
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Sat 9:10 a.m. - 9:30 a.m.
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Coffee Break
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馃敆 |
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Sat 9:30 a.m. - 10:05 a.m.
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Keynote 1
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Keynote
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SlidesLive Video |
Karl Friston 馃敆 |
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Sat 10:05 a.m. - 10:40 a.m.
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Keynote 2
(
Keynote
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SlidesLive Video |
Doina Precup 馃敆 |
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Sat 10:40 a.m. - 11:15 a.m.
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Keynote 3
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Keynote
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SlidesLive Video |
Max Welling 馃敆 |
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Sat 11:15 a.m. - 12:15 p.m.
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Panel Discussion
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Discussion
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SlidesLive Video |
Karl Friston 路 Yoshua Bengio 馃敆 |
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Sat 12:15 p.m. - 1:25 p.m.
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Lunch Break
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馃敆 |
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Sat 1:25 p.m. - 2:00 p.m.
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Keynote 4
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Keynote
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SlidesLive Video |
Maryam Shanechi 馃敆 |
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Sat 2:00 p.m. - 2:35 p.m.
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Keynote 5
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Keynote
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SlidesLive Video |
Rafal Bogacz 馃敆 |
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Sat 2:35 p.m. - 3:10 p.m.
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Keynote 6
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Keynote
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SlidesLive Video |
Eva Dyer 馃敆 |
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Sat 3:10 p.m. - 3:20 p.m.
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NeuroAI at NIH/BRAIN Initiative
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Talk
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SlidesLive Video |
Joseph Monaco 馃敆 |
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Sat 3:20 p.m. - 3:30 p.m.
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Closing Remarks
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Closing
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SlidesLive Video |
馃敆 |
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Sat 3:30 p.m. - 5:30 p.m.
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Poster Session
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Poster
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馃敆 |
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Asynchronous Hebbian/anti-Hebbian networks ( Poster ) > link | Henrique Reis Aguiar 路 Matthias Hennig 馃敆 |
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Common visual learning constraints in transformers and newborn brains: Evidence from line drawings ( Poster ) > link | Lalit Pandey 路 Samantha Wood 路 Justin Wood 馃敆 |
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Decoupling the Contributions of Spatio-Temporal Coding: From ANNs to SNNs ( Poster ) > link | Yihao Li 路 Hanle Zheng 路 Jiaxin Guo 路 Lei Deng 馃敆 |
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Partial observation can induce mechanistic mismatches in data-constrained RNNs ( Poster ) > link | William Qian 路 Jacob Zavatone-Veth 路 Ben Ruben 路 Cengiz Pehlevan 馃敆 |
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Natural Language-guided Neural Encoding Benchmark for Vision ( Poster ) > link | Taha Razzaq 路 Hisan Naeem 路 Asim Iqbal 馃敆 |
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Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift ( Poster ) > link | Kingson Man 路 Antonio Damasio 路 Hartmut Neven 馃敆 |
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Learning Bayes-Optimal Representation in Partially Observable Environments via Meta-Reinforcement Learning with Predictive Coding ( Poster ) > link | Po-Chen Kuo 路 Han Hou 路 Will Dabney 路 Edgar Walker 馃敆 |
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Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle ( Poster ) > link | Mehran Hossein Zadeh Bazargani 路 Szymon Urbas 路 Karl Friston 馃敆 |
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Dyadic Learning in Recurrent and Feedforward Models ( Poster ) > link | Rasmus H酶ier 路 Kirill Kalinin 路 Maxence Ernoult 路 Christopher Zach 馃敆 |
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Multiple temporal credit assignment rules achieve comparable neural data similarity ( Poster ) > link | Yuhan Helena Liu 路 Guangyu Robert Yang 路 Christopher Cueva 馃敆 |
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Population Transformer: Learning Population-level Representations of Intracranial Activity ( Poster ) > link | Geeling Chau 路 Christopher Wang 路 Sabera Talukder 路 Vighnesh Subramaniam 路 Saraswati Soedarmadji 路 Yisong Yue 路 Boris Katz 路 Andrei Barbu 馃敆 |
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Doing More with Less: Computational Role of Information Structure in Neural Networks based on Entropy Maximization ( Poster ) > link | Alexandre Pitti 路 Claudio Weidmann 路 Krzysztof Lebioda 馃敆 |
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Neuron-Astrocyte Associative Memory ( Poster ) > link | Leo Kozachkov 路 Jean-Jacques Slotine 路 Dmitry Krotov 馃敆 |
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The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning ( Poster ) > link | Dulhan Jayalath 路 Gilad Landau 路 Brendan Shillingford 路 Mark Woolrich 路 Oiwi Parker Jones 馃敆 |
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Neural Embedding Ranks: Aligning 3D latent dynamics with movement for long-term decoding ( Poster ) > link | Chenggang Chen 路 Zhiyu Yang 路 Xiaoqin Wang 馃敆 |
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NetFormer: An interpretable model for recovering identity and structure in neural population dynamics ( Poster ) > link | Wuwei Zhang 路 Ziyu Lu 路 Trung Le 路 Hao Wang 路 Uygar S眉mb眉l 路 Eric Shea-Brown 路 Lu Mi 馃敆 |
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Beyond Directed Acyclic Computation Graph with Cyclic Neural Network ( Poster ) > link | Liangwei Yang 路 Hengrui Zhang 路 Weizhi Zhang 路 Zihe Song 路 Jing Ma 路 Jiawei Zhang 路 Philip S Yu 馃敆 |
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Hierarchical Control of Reaching Movements Via Compositional Gain Modulation ( Poster ) > link | Alessandro Salatiello 路 Martin Giese 馃敆 |
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Why learn if you can infer? Robot arm control with Hierarchical Active Inference ( Poster ) > link | Corrado Pezzato 路 Christopher L Buckley 路 Tim Verbelen 馃敆 |
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Homeostasis-aware Direct Spike Encoding for Deep Spiking Neural Networks ( Poster ) > link | Yechan Kang 路 Mingyeong Seo 路 Jeonghee Jo 路 Hyun Jae Jang 路 Jongkil Park 路 Jaewook Kim 路 Suyoun Lee 路 Jinkyu Kim 路 Seongsik Park 馃敆 |
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Proliferation of cosine-tuning in both artificial spiking and cortical neural networks during learning ( Poster ) > link | Tengjun Liu 路 Yansong Chua 路 Yiwei Zhang 路 Yuxiao Ning 路 Guihua Wan 路 Zijun Wan 路 Shaomin Zhang 路 Weidong Chen 馃敆 |
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A call for intrinsic learning ( Poster ) > link | Andy C Kitchen 馃敆 |
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Improving out-of-distribution generalization by mimicking the human visual diet. ( Poster ) > link | Spandan Madan 路 You Li 路 Mengmi Zhang 路 Hanspeter Pfister 路 Gabriel Kreiman 馃敆 |
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Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis ( Poster ) > link | Changmin Yu 路 Mate Lengyel 馃敆 |
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RNN Replay: Leakage and Underdamped Dynamics ( Poster ) > link | Josue Casco-Rodriguez 路 Richard Baraniuk 馃敆 |
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Predictive Learning Induces Probabilistic Cognitive Maps ( Poster ) > link | Yeowon Kim 路 Yul HR Kang 馃敆 |
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How do Active Dendrite Networks Mitigate Catastrophic Forgetting? ( Poster ) > link | Sankarshan Damle 路 Satya Lokam 路 Navin Goyal 馃敆 |
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Parallel Decision-Making yields Disentangled World Models: Impact and Implications ( Poster ) > link | Pantelis Vafidis 路 Aman Bhargava 路 Antonio Rangel 馃敆 |
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Dynamics Based Neural Encoding with Inter-Intra Region Connectivity ( Poster ) > link | Mai Gamal 路 Muhammed Abdel Hamid 路 Eman Nasef 路 Seif Eldawlatly 路 Mennatullah Siam 馃敆 |
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Prospective Learning: Learning for a Dynamic Future ( Poster ) > link | Ashwin De Silva 路 Rahul Ramesh 路 Rubing Yang 路 Siyu Yu 路 Joshua T Vogelstein 路 Pratik Chaudhari 馃敆 |
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Predictive Coding Graphs are a Superset of Feedforward Neural Networks ( Poster ) > link | Bj枚rn van Zwol 馃敆 |
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Not so griddy: Internal representations of RNNs path integrating more than one agent ( Poster ) > link | William Redman 路 Francisco Acosta 路 Santiago Acosta-Mendoza 路 Nina Miolane 馃敆 |
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Invariant Spatiotemporal Representation Learning for Cross-patient Seizure Classification ( Poster ) > link | Yuntian Wu 路 Yuntian Yang 路 Jiabao Sean Xiao 路 Haochen Sui 路 Haoxuan Li 馃敆 |
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Liquid Resistance Liquid Capacitance Networks ( Poster ) > link | M贸nika Farsang 路 Sophie Neubauer 路 Radu Grosu 馃敆 |
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SynapsNet: Enhancing Neuronal Population Dynamics Modeling via Learning Functional Connectivity ( Poster ) > link | Parsa Delavari 路 Ipek Oruc 路 Timothy Murphy 馃敆 |
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What should a neuron aim for? Designing local objective functions based on information theory ( Poster ) > link | Andreas Schneider 路 Valentin Neuhaus 路 David A. Ehrlich 路 Alexander Ecker 路 Abdullah Makkeh 路 Viola Priesemann 路 Michael Wibral 馃敆 |
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Towards zero-shot adaptation of predictive models of neurons encoding posterior probability ( Poster ) > link | Suhas Shrinivasan 路 Ralf Haefner 路 Fabian Sinz 路 Edgar Walker 馃敆 |
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A Walsh Hadamard Derived Linear Vector Symbolic Architecture ( Poster ) > link | Mohammad Mahmudul Alam 路 Alexander Oberle 路 Edward Raff 路 Stella Biderman 路 Tim Oates 路 James Holt 馃敆 |
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Path Divergence Objective: Boundedly-Rational Decision Making in Partially Observable Environments ( Poster ) > link | Tom谩拧 Gaven膷iak 路 David Hyland 路 Lancelot Da Costa 路 Michael Wooldridge 路 Jan Kulveit 馃敆 |
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The Role of Cortical Varibility in Supporting Few-shot Generalization: Theory and Empirical Evidence ( Poster ) > link | Praveen Venkatesh 路 Jiaqi Shang 路 Corbett Bennett 路 Sam Gale 路 Greggory Heller 路 Tamina Ramirez 路 Severine Durand 路 Eric Shea-Brown 路 Shawn Olsen 路 Stefan Mihalas 馃敆 |