Workshop

Fri 7:40

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