Eric Shea-Brown
University of Washington
H-index: 41
North America-United States
Top articles of Eric Shea-Brown
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Expressive probabilistic sampling in recurrent neural networks | Advances in Neural Information Processing Systems | Shirui Chen Linxing Jiang Rajesh PN Rao Eric Shea-Brown | 2024/2/13 |
Attention for Causal Relationship Discovery from Biological Neural Dynamics | Thirty-seventh Conference on Neural Information Processing Systems - Causal Representation Learning Workshop 2023 (NeurIPS-CRL 2023) | Ziyu Lu Anika Tabassum Shruti Kulkarni Lu Mi J Nathan Kutz | 2023/11/12 |
Cortical network structure mediates response to brain stimulation | 2023/3/16 | ||
A biologically inspired architecture with switching units can learn to generalize across backgrounds | Neural Networks | Doris Voina Eric Shea-Brown Stefan Mihalas | 2023/11/1 |
How connectivity structure shapes rich and lazy learning in neural circuits | ArXiv | Yuhan Helena Liu Aristide Baratin Jonathan Cornford Stefan Mihalas Eric Shea-Brown | 2023/10/12 |
Modeling functional cell types in spike train data | PLOS Computational Biology | Daniel N Zdeblick Eric T Shea-Brown Daniela M Witten Michael A Buice | 2023/10/12 |
From lazy to rich to exclusive task representations in neural networks and neural codes | Matthew Farrell Stefano Recanatesi Eric Shea-Brown | 2023/12/1 | |
A simple connection from loss flatness to compressed representations in neural networks | arXiv preprint arXiv:2310.01770 | Shirui Chen Stefano Recanatesi Eric Shea-Brown | 2023/10/3 |
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs | arXiv preprint arXiv:2311.10869 | James Hazelden Yuhan Helena Liu Eli Shlizerman Eric Shea-Brown | 2023/11/17 |
Heterogeneity in neuronal dynamics is learned by gradient descent for temporal processing tasks | Neural Computation | Chloe N Winston Dana Mastrovito Eric Shea-Brown Stefan Mihalas | 2023/3/18 |
MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex | PLOS Computational Biology | Jianghong Shi Bryan Tripp Eric Shea-Brown Stefan Mihalas Michael A. Buice | 2022/9/6 |
Network structure mediates functional reorganization induced by optogenetic stimulation of non-human primate sensorimotor cortex | Iscience | Julien Bloch Alexander Greaves-Tunnell Eric Shea-Brown Zaid Harchaoui Ali Shojaie | 2022/5/20 |
Learning dynamics of deep linear networks with multiple pathways | Advances in neural information processing systems | Jianghong Shi Eric Shea-Brown Michael Buice | 2022/12/6 |
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators | Advances in Neural Information Processing Systems | Yuhan Helena Liu Stephen Smith Stefan Mihalas Eric Shea-Brown Uygar Sümbül | 2022/12/1 |
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch | bioRxiv | Doris Voina Stefano Recanatesi Brian Hu Eric Shea-Brown Stefan Mihalas | 2020/9/25 |
Neuromatch Academy: a 3-week, online summer school in computational neuroscience | Bernard Marius t Hart Titipat Achakulvisut Ayoade Adeyemi Athena Akrami Bradly Alicea | 2022 | |
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules | Advances in Neural Information Processing Systems | Yuhan Helena Liu Arna Ghosh Blake Richards Eric Shea-Brown Guillaume Lajoie | 2022/12/6 |
Author Correction: Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion | Nature Machine Intelligence | Matthew Farrell Stefano Recanatesi Timothy Moore Guillaume Lajoie Eric Shea-Brown | 2022/11 |
Network-level modeling of stimulation-induced functional connectivity change: An optogenetic study in non-human primate cortex | Julien Bloch Alexander Greaves-Tunnell Eric Shea-Brown Zaid Harchaoui Ali Shojaie | 2021/9/10 | |
Cortical representation variability aligns with in-class variances and can help one-shot learning | bioRxiv | Jiaqi Shang Eric Shea-Brown Stefan Mihalas | 2021/1/27 |
