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Workshop
Fri 7:40 Gestalt grouping cues for understanding complex scenes: evidence from psychophysics, neuroscience, and computer vision
Dirk Bernhardt-Walther
Workshop
Using Sum-Product Networks to estimate neural population stutcture in the brain
Koosha Khalvati · Samantha Johnson · Stefan Mihalas · Michael Buice
Poster
Tue 9:00 Extracting computational mechanisms from neural data using low-rank RNNs
Adrian Valente · Jonathan Pillow · Srdjan Ostojic
Workshop
Associative memory via covariance-learning predictive coding networks
Mufeng Tang · Tommaso Salvatori · Yuhang Song · Beren Millidge · Thomas Lukasiewicz · Rafal Bogacz
Poster
Thu 9:00 Structured Recognition for Generative Models with Explaining Away
Changmin Yu · Hugo Soulat · Neil Burgess · Maneesh Sahani
Poster
Thu 14:00 STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers
Trung Le · Eli Shlizerman
Poster
Tue 9:00 Exact learning dynamics of deep linear networks with prior knowledge
Lukas Braun · Clémentine Dominé · James Fitzgerald · Andrew Saxe
Poster
Tue 9:00 Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models
Meenakshi Khosla · Keith Jamison · Amy Kuceyeski · Mert Sabuncu
Poster
Thu 14:00 Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton
Poster
Thu 14:00 Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
Yuhan Helena Liu · Stephen Smith · Stefan Mihalas · Eric Shea-Brown · Uygar Sümbül
Workshop
Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
Timothy Kim · Tankut Can · Kamesh Krishnamurthy
Poster
Wed 9:00 DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body
Alberto Silvio Chiappa · Alessandro Marin Vargas · Alexander Mathis