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34 Results
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Poster
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Efficient approximation of neural population structure and correlations with probabilistic circuits Koosha Khalvati · Samantha Johnson · Stefan Mihalas · Michael Buice |
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Poster
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A Theoretical Framework for Inference and Learning in Predictive Coding Networks Beren Millidge · Yuhang Song · Tommaso Salvatori · Thomas Lukasiewicz · Rafal Bogacz |
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Poster
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Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation Bariscan Bozkurt · Ateş İsfendiyaroğlu · Cengiz Pehlevan · Alper Erdogan |
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Poster
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Tue 7:30 |
Bayesian Oracle for bounding information gain in neural encoding models Konstantin-Klemens Lurz · Mohammad Bashiri · Edgar Walker · Fabian Sinz |
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Poster
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Real-time variational method for learning neural trajectory and its dynamics Matthew Dowling · Yuan Zhao · Il Memming Park |
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Poster
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Human alignment of neural network representations Lukas Muttenthaler · Jonas Dippel · Lorenz Johannes Linhardt · Robert A Vandermeulen · Simon Kornblith |
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Poster
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Mon 7:30 |
Computational Language Acquisition with Theory of Mind Andy Liu · Hao Zhu · Emmy Liu · Yonatan Bisk · Graham Neubig |
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Poster
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Wed 7:30 |
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation David Lipshutz · Cengiz Pehlevan · Dmitri Chklovskii |
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Poster
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Can Neural Networks Learn Implicit Logic from Physical Reasoning? Aaron Traylor · Roman Feiman · Ellie Pavlick |
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Poster
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BrainBERT: Self-supervised representation learning for intracranial recordings Christopher Wang · Vighnesh Subramaniam · Adam Yaari · Gabriel Kreiman · Boris Katz · Ignacio Cases · Andrei Barbu |
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Oral
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Mon 1:30 |
Hebbian Deep Learning Without Feedback Adrien Journé · Hector Garcia Rodriguez · Qinghai Guo · Timoleon Moraitis |
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Poster
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Mon 2:30 |
Hebbian Deep Learning Without Feedback Adrien Journé · Hector Garcia Rodriguez · Qinghai Guo · Timoleon Moraitis |