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Workshop

NeuroAI: Fusing Neuroscience and AI for Intelligent Solutions

Forough Habibollahi ⋅ Moein Khajehnejad ⋅ Adeel Razi ⋅ Jason Eshraghian ⋅ Noor Sajid ⋅ Anthony M Zador ⋅ Yoshua Bengio
Project Page [ OpenReview] 

Abstract

Video

Chat is not available.

Schedule

Timezone: America/Los_Angeles
8:15 AM
Opening Remarks
8:25 AM
Spotlight Talk 1
Ran Wei
8:40 AM
Spotlight Talk 2
Jaedong Hwang ⋅ Zhang-Wei Hong ⋅ Eric Chen ⋅ Akhilan Boopathy ⋅ Pulkit Agrawal ⋅ Ila Fiete
8:55 AM
Spotlight Talk 3
Mohammed Osman ⋅ Kai Fox ⋅ Joshua Stern
9:10 AM
Coffee Break
9:30 AM
Keynote 1
Karl Friston
10:05 AM
Keynote 2
Doina Precup
10:40 AM
Keynote 3
Max Welling
11:15 AM
Panel Discussion
Karl Friston ⋅ Yoshua Bengio
12:15 PM
Lunch Break
1:25 PM
Keynote 4
Maryam Shanechi
2:00 PM
Keynote 5
Rafal Bogacz
2:35 PM
Keynote 6
Eva Dyer
3:10 PM
NeuroAI at NIH/BRAIN Initiative
Joseph Monaco
3:20 PM
Closing Remarks
3:30 PM
Poster Session
Asynchronous Hebbian/anti-Hebbian networks
Henrique Reis Aguiar ⋅ Matthias Hennig
Decoupling the Contributions of Spatio-Temporal Coding: From ANNs to SNNs
Yihao Li ⋅ Hanle Zheng ⋅ Jiaxin Guo ⋅ Lei Deng
Partial observation can induce mechanistic mismatches in data-constrained RNNs
William Qian ⋅ Jacob Zavatone-Veth ⋅ Ben Ruben ⋅ Cengiz Pehlevan
Natural Language-guided Neural Encoding Benchmark for Vision
Taha Razzaq ⋅ Hisan Naeem ⋅ Asim Iqbal
Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift
Kingson Man ⋅ Antonio Damasio ⋅ Hartmut Neven
Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle
Mehran Hossein Zadeh Bazargani ⋅ Szymon Urbas ⋅ Karl Friston
Dyadic Learning in Recurrent and Feedforward Models
Rasmus Høier ⋅ Kirill Kalinin ⋅ Maxence Ernoult ⋅ Christopher Zach
Multiple temporal credit assignment rules achieve comparable neural data similarity
Yuhan Helena Liu ⋅ Guangyu Robert Yang ⋅ Christopher Cueva
Population Transformer: Learning Population-level Representations of Intracranial Activity
Geeling Chau ⋅ Christopher Wang ⋅ Sabera Talukder ⋅ Vighnesh Subramaniam ⋅ Saraswati Soedarmadji ⋅ Yisong Yue ⋅ Boris Katz ⋅ Andrei Barbu
Neuron-Astrocyte Associative Memory
Leo Kozachkov ⋅ Jean-Jacques Slotine ⋅ Dmitry Krotov
The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
Dulhan Jayalath ⋅ Gilad Landau ⋅ Brendan Shillingford ⋅ Mark Woolrich ⋅ Oiwi Parker Jones
NetFormer: An interpretable model for recovering identity and structure in neural population dynamics
Wuwei Zhang ⋅ Ziyu Lu ⋅ Trung Le ⋅ Hao Wang ⋅ Uygar Sümbül ⋅ Eric Shea-Brown ⋅ Lu Mi
Beyond Directed Acyclic Computation Graph with Cyclic Neural Network
Liangwei Yang ⋅ Hengrui Zhang ⋅ Weizhi Zhang ⋅ Zihe Song ⋅ Jing Ma ⋅ Jiawei Zhang ⋅ Philip S Yu
Why learn if you can infer? Robot arm control with Hierarchical Active Inference
Corrado Pezzato ⋅ Christopher L Buckley ⋅ Tim Verbelen
Homeostasis-aware Direct Spike Encoding for Deep Spiking Neural Networks
Yechan Kang ⋅ Mingyeong Seo ⋅ Jeonghee Jo ⋅ Hyun Jae Jang ⋅ Jongkil Park ⋅ Jaewook Kim ⋅ Suyoun Lee ⋅ Jinkyu Kim ⋅ Seongsik Park
Proliferation of cosine-tuning in both artificial spiking and cortical neural networks during learning
Tengjun Liu ⋅ Yansong Chua ⋅ Yiwei Zhang ⋅ Yuxiao Ning ⋅ Guihua Wan ⋅ Zijun Wan ⋅ Shaomin Zhang ⋅ Weidong Chen
Improving out-of-distribution generalization by mimicking the human visual diet.
Spandan Madan ⋅ You Li ⋅ Mengmi Zhang ⋅ Hanspeter Pfister ⋅ Gabriel Kreiman
RNN Replay: Leakage and Underdamped Dynamics
Josue Casco-Rodriguez ⋅ Richard Baraniuk
How do Active Dendrite Networks Mitigate Catastrophic Forgetting?
Sankarshan Damle ⋅ Satya Lokam ⋅ Navin Goyal
Parallel Decision-Making yields Disentangled World Models: Impact and Implications
Pantelis Vafidis ⋅ Aman Bhargava ⋅ Antonio Rangel
Dynamics Based Neural Encoding with Inter-Intra Region Connectivity
Mai Gamal ⋅ Muhammed Abdel Hamid ⋅ Eman Nasef ⋅ Seif Eldawlatly ⋅ Mennatullah Siam
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva ⋅ Rahul Ramesh ⋅ Rubing Yang ⋅ Siyu Yu ⋅ Joshua T Vogelstein ⋅ Pratik Chaudhari
Not so griddy: Internal representations of RNNs path integrating more than one agent
William Redman ⋅ Francisco Acosta ⋅ Santiago Acosta-Mendoza ⋅ Nina Miolane
Invariant Spatiotemporal Representation Learning for Cross-patient Seizure Classification
Yuntian Wu ⋅ Yuntian Yang ⋅ Jiabao Sean Xiao ⋅ Haochen Sui ⋅ Haoxuan Li
Liquid Resistance Liquid Capacitance Networks
Mónika Farsang ⋅ Sophie Neubauer ⋅ Radu Grosu
What should a neuron aim for? Designing local objective functions based on information theory
Andreas Schneider ⋅ Valentin Neuhaus ⋅ David A. Ehrlich ⋅ Alexander Ecker ⋅ Abdullah Makkeh ⋅ Viola Priesemann ⋅ Michael Wibral
Towards zero-shot adaptation of predictive models of neurons encoding posterior probability
Suhas Shrinivasan ⋅ Ralf Haefner ⋅ Fabian Sinz ⋅ Edgar Walker
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
Mohammad Mahmudul Alam ⋅ Alexander Oberle ⋅ Edward Raff ⋅ Stella Biderman ⋅ Tim Oates ⋅ James Holt
Path Divergence Objective: Boundedly-Rational Decision Making in Partially Observable Environments
Tomáš Gavenčiak ⋅ David Hyland ⋅ Lancelot Da Costa ⋅ Michael Wooldridge ⋅ Jan Kulveit
The Role of Cortical Varibility in Supporting Few-shot Generalization: Theory and Empirical Evidence
Praveen Venkatesh ⋅ Jiaqi Shang ⋅ Corbett Bennett ⋅ Sam Gale ⋅ Greggory Heller ⋅ Tamina Ramirez ⋅ Severine Durand ⋅ Eric Shea-Brown ⋅ Shawn Olsen ⋅ Stefan Mihalas