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