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Poster
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Thu 14:00
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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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Tue 9:00
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Extracting computational mechanisms from neural data using low-rank RNNs
Adrian Valente · Jonathan Pillow · Srdjan Ostojic
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Poster
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Natural image synthesis for the retina with variational information bottleneck representation
Babak Rahmani · Demetri Psaltis · Christophe Moser
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Poster
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Tue 14:00
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Self-Supervised Learning Through Efference Copies
Franz Scherr · Qinghai Guo · Timoleon Moraitis
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Poster
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Tue 9:00
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Efficient identification of informative features in simulation-based inference
Jonas Beck · Michael Deistler · Yves Bernaerts · Jakob H Macke · Philipp Berens
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Poster
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Tue 14:00
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Biological Learning of Irreducible Representations of Commuting Transformations
Alexander Genkin · David Lipshutz · Siavash Golkar · Tiberiu Tesileanu · Dmitri Chklovskii
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Poster
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Tue 14:00
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Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking
Shuchen Wu · Noemi Elteto · Ishita Dasgupta · Eric Schulz
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Poster
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Wed 9:00
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A time-resolved theory of information encoding in recurrent neural networks
Rainer Engelken · Sven Goedeke
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Poster
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Tue 9:00
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No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
Rylan Schaeffer · Mikail Khona · Ila Fiete
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Poster
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Thu 9:00
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Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
Eric Wu · Nora Brackbill · Alexander Sher · Alan Litke · Eero Simoncelli · E.J. Chichilnisky
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Poster
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Wed 9:00
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Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy
Siavash Golkar · Tiberiu Tesileanu · Yanis Bahroun · Anirvan Sengupta · Dmitri Chklovskii
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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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