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Oral Session
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Mon 1:00
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Oral 1 Track 3: Neuroscience and Cognitive Science & General Machine Learning
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Oral Session
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Tue 1:00
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Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
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Poster
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Incremental Learning of Structured Memory via Closed-Loop Transcription
Shengbang Tong · Xili Dai · Ziyang Wu · Mingyang Li · Brent Yi · Yi Ma
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Poster
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Tue 7:30
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Bayesian Oracle for bounding information gain in neural encoding models
Konstantin-Klemens Lurz · Mohammad Bashiri · Edgar Walker · Fabian Sinz
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Oral
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Mon 1:20
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Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James Whittington · Will Dorrell · Surya Ganguli · Timothy Behrens
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Poster
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Mon 2:30
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Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James Whittington · Will Dorrell · Surya Ganguli · Timothy Behrens
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Poster
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Sparse Distributed Memory is a Continual Learner
Trenton Bricken · Xander Davies · Deepak Singh · Dmitry Krotov · Gabriel Kreiman
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Poster
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Tue 7:30
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Simplicial Hopfield networks
Thomas F Burns · Tomoki Fukai
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Poster
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Mon 7:30
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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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Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Zecheng Hao · Jianhao Ding · Tong Bu · Tiejun Huang · Zhaofei Yu
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Poster
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Brain-like representational straightening of natural movies in robust feedforward neural networks
Tahereh Toosi · Elias Issa
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Poster
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Tue 2:30
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Training language models to summarize narratives improves brain alignment
Khai Loong Aw · Mariya Toneva
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