We are pleased to announce the list of accepted papers for the NeuroAI Workshop. Congratulations to all the authors!
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Authors of accepted papers are required to download and use the following LaTeX template to prepare their camera-ready versions:
Download LaTeX Template- Value of Information and Reward Specification in Active Inference and POMDPs, Ran Wei - Accept (Spotlight)
- Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building, Jaedong Hwang · Zhang-Wei Hong · Eric Chen · Akhilan Boopathy · Pulkit Agrawal · Ila Fiete - Accept (Spotlight)
- A Hopfield network model of neuromodulatory arousal state, Mohammed Osman · Kai Fox · Joshua Stern - Accept (Spotlight)
- Neuron-Astrocyte Associative Memory, Leo Kozachkov · Jean-Jacques Slotine · Dmitry Krotov - Accept (Poster)
- Predictive Learning Induces Probabilistic Cognitive Maps, Yeowon Kim · Yul Kang - Accept (Poster)
- SynapsNet: Enhancing Neuronal Population Dynamics Modeling via Learning Functional Connectivity, Parsa Delavari · Ipek Oruc · Timothy Murphy - Accept (Poster)
- Neural Embedding Ranks: Aligning 3D latent dynamics with movement for long-term decoding, Chenggang Chen · Zhiyu Yang - Accept (Poster)
- 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 - Accept (Poster)
- Parallel Decision-Making yields Disentangled World Models: Impact and Implications, Pantelis Vafidis · Aman Bhargava · Antonio Rangel - Accept (Poster)
- RNN Replay: Leakage and Underdamped Dynamics, Josue Casco-Rodriguez · Richard Baraniuk - Accept (Poster)
- Decoupling the Contributions of Spatio-Temporal Coding: From ANNs to SNNs, Yihao Li · Hanle Zheng · Jiaxin Guo · Lei Deng - Accept (Poster)
- 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 - Accept (Poster)
- Not so griddy: Internal representations of RNNs path integrating more than one agent, William Redman · Francisco Acosta · Santiago Acosta-Mendoza · Nina Miolane - Accept (Poster)
- Improving out-of-distribution generalization by mimicking the human visual diet., Spandan Madan · You Li · Mengmi Zhang · Hanspeter Pfister · Gabriel Kreiman - Accept (Poster)
- Liquid Resistance Liquid Capacitance Networks, Mónika Farsang · Sophie Neubauer · Radu Grosu - Accept (Poster)
- Beyond Directed Acyclic Computation Graph with Cyclic Neural Network, Liangwei Yang · Hengrui Zhang · Weizhi Zhang · Zihe Song · Jing Ma · Jiawei Zhang · Philip S Yu - Accept (Poster)
- Towards zero-shot adaptation of predictive models of neurons encoding posterior probability, Suhas Shrinivasan · Ralf Haefner · Fabian Sinz · Edgar Walker - Accept (Poster)
- Partial observation can induce mechanistic mismatches in data-constrained RNNs, William Qian · Jacob Zavatone-Veth · Ben Ruben · Cengiz Pehlevan - Accept (Poster)
- A call for intrinsic learning, Andy C Kitchen - Accept (Poster)
- Hierarchical Control of Reaching Movements Via Compositional Gain Modulation, Alessandro Salatiello · Martin Giese - Accept (Poster)
- Path Divergence Objective: Boundedly-Rational Decision Making in Partially Observable Environments, Tomáš Gavenčiak · David Hyland · Lancelot Da Costa · Michael Wooldridge · Jan Kulveit - Accept (Poster)
- A Walsh Hadamard Derived Linear Vector Symbolic Architecture, Mohammad Mahmudul Alam · Alexander Oberle · Edward Raff · Stella Biderman · Tim Oates · James Holt - Accept (Poster)
- Natural Language-guided Neural Encoding Benchmark for Vision, Taha Razzaq · Hisan Naeem · Asim Iqbal - Accept (Poster)
- Dynamics Based Neural Encoding with Inter-Intra Region Connectivity, Mai Gamal · Mohamed Abdel Hamid · Eman Nasef · Seif Eldawlatly · Mennatullah Siam - Accept (Poster)
- Common visual learning constraints in transformers and newborn brains: Evidence from line drawings, Lalit Pandey · Samantha Wood · Justin Wood - Accept (Poster)
- Predictive Coding Graphs are a Superset of Feedforward Neural Networks, Björn van Zwol - Accept (Poster)
- The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning, Dulhan Jayalath · Gilad Landau · Brendan Shillingford · Mark Woolrich · Oiwi Parker Jones - Accept (Poster)
- Invariant Spatiotemporal Representation Learning for Cross-patient Seizure Classification, Yuntian Wu · Yuntian Yang · Jiabao Sean Xiao · Chuan Zhou · Haochen Sui · Haoxuan Li - Accept (Poster)
- Dyadic Learning in Recurrent and Feedforward Models, Rasmus Høier · Kirill Kalinin · Maxence Ernoult · Christopher Zach - Accept (Poster)
- Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift, Kingson Man · Antonio Damasio · Hartmut Neven - Accept (Poster)
- 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 - Accept (Poster)
- Learning Bayes-Optimal Representation in Partially Observable Environments via Meta-Reinforcement Learning with Predictive Coding, Po-Chen Kuo · Han Hou · Will Dabney · Edgar Walker - Accept (Poster)
- How do Active Dendrite Networks Mitigate Catastrophic Forgetting?, Sankarshan Damle · Satya Lokam · Navin Goyal - Accept (Poster)
- Asynchronous Hebbian/anti-Hebbian networks, Henrique Reis Aguiar · Matthias Hennig - Accept (Poster)
- 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 - Accept (Poster)
- Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis, Changmin Yu · Mate Lengyel - Accept (Poster)
- Why learn if you can infer? Robot arm control with Hierarchical Active Inference, Corrado Pezzato · Christopher L Buckley · Tim Verbelen - Accept (Poster)
- Prospective Learning: Learning for a Dynamic Future, Ashwin De Silva · Rahul Ramesh · Rubing Yang · Siyu Yu . Joshua T Vogelstein · Pratik Chaudhari - Accept (Poster)
- 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 - Accept (Poster)
- Doing More with Less: Computational Role of Information Structure in Neural Networks based on Entropy Maximization, Alexandre Pitti · Claudio Weidmann · Krzysztof Lebioda - Accept (Poster)
- The Role of Cortical Variability 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 - Accept (Poster)
- Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle, Mehran Hossein Zadeh Bazargani · Szymon Urbas · Karl Friston - Accept (Poster)
- Multiple temporal credit assignment rules achieve comparable neural data similarity, Yuhan Helena Liu · Guangyu Robert Yang · Christopher Cueva - Accept (Poster)
Workshop Paper Statistics
Total Submissions
113
Accepted Papers
43
Acceptance Rate
38%
Reviewers Contributed
121
Reviews Submitted
349
Average Reviews Per Paper
3.08