Shea-Brown, Eric

8 publications

NeurIPS 2023 Expressive Probabilistic Sampling in Recurrent Neural Networks Shirui Chen, Linxing Jiang, Rajesh PN Rao, Eric Shea-Brown

NeurIPS 2022 Beyond Accuracy: Generalization Properties of Bio-Plausible Temporal Credit Assignment Rules Yuhan Helena Liu, Arna Ghosh, Blake Richards, Eric Shea-Brown, Guillaume Lajoie

NeurIPS 2022 Biologically-Plausible Backpropagation Through Arbitrary Timespans via Local Neuromodulators Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül

NeurIPS 2022 Learning Dynamics of Deep Linear Networks with Multiple Pathways Jianghong Shi, Eric Shea-Brown, Michael Buice

NeurIPS 2019 Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex Jianghong Shi, Eric Shea-Brown, Michael Buice

NeurIPSW 2019 Data-Driven Discovery of Functional Cell Types That Improve Models of Neural Activity Daniel Zdeblick, Eric Shea-Brown, Daniela Witten, Michael Buice

NeurIPSW 2019 Recurrent Neural Networks Learn Robust Representations by Dynamically Balancing Compression and Expansion Matthew Farrell, Stefano Recanatesi, Guillaume Lajoie, Eric Shea-Brown

NeurIPS 2016 High Resolution Neural Connectivity from Incomplete Tracing Data Using Nonnegative Spline Regression Kameron D Harris, Stefan Mihalas, Eric Shea-Brown