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9 Results
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Poster
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Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu |
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Poster
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Thu 14:00 |
Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells Tianhao Chu · Zilong Ji · Junfeng Zuo · Wenhao Zhang · Tiejun Huang · Yuanyuan Mi · Si Wu |
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Poster
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Wed 14:00 |
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors Wenhao Zhang · Ying Nian Wu · Si Wu |
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Poster
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Tue 14:00 |
Kernel Memory Networks: A Unifying Framework for Memory Modeling Georgios Iatropoulos · Johanni Brea · Wulfram Gerstner |
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Poster
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Wed 9:00 |
Learning Chaotic Dynamics in Dissipative Systems Zongyi Li · Miguel Liu-Schiaffini · Nikola Kovachki · Kamyar Azizzadenesheli · Burigede Liu · Kaushik Bhattacharya · Andrew Stuart · Anima Anandkumar |
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Poster
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Tue 9:00 |
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation Cem Anil · Ashwini Pokle · Kaiqu Liang · Johannes Treutlein · Yuhuai Wu · Shaojie Bai · J. Zico Kolter · Roger Grosse |
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Poster
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Thu 14:00 |
On the difficulty of learning chaotic dynamics with RNNs Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz |
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Workshop
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Graph Neural Networks for Connectivity Inference in Spatially Patterned Neural Responses Taehoon Park · JuHyeon Kim · DongHee Kang · Kijung Yoon |
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Workshop
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Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs Timothy Kim · Tankut Can · Kamesh Krishnamurthy |