Eric Shea-Brown

Also affiliated with University of Washington, Preston University, University of Washington Applied Physics Laboratory, Allen Institute

NeurosciencePhysics and AstronomyComputer ScienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 22 papers. Top paper: “Network structure mediates functional reorganization induced by optogenetic stimulation of non-human primate sensorimotor cortex”.

Network structure mediates functional reorganization induced by optogenetic stimulation of non-human primate sensorimotor cortex

iScience(2022)10.1016/j.isci.2022.104285

N/A

0.523DataRank · unranked

17 citations

Alexander Greaves-Tunnell, Eric Shea-Brown, Zaïd Harchaoui, Ali Shojaie, Azadeh Yazdan-Shahmorad +1 more

Inferring the Spiking Rate of a Population of Neurons from Wide-Field Calcium Imaging

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.01.930040

N/A

0DataRank · unranked

15 citations

Eric Shea-Brown, Daniela Witten, Merav Stern

A scale-dependent measure of system dimensionality

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.19.423618

N/A

0DataRank · unranked

5 citations

Serena Bradde, Vijay Balasubramanian, Nicholas A. Steinmetz, Eric Shea-Brown, Stefano Recanatesi

A Convolutional Network Architecture Driven by Mouse Neuroanatomical Data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.23.353151

N/A

0DataRank · unranked

2 citations

Michael A. Buice, Eric Shea-Brown, Ştefan Mihalaş, Bryan Tripp, Jianghong Shi

Identification of multiple noise sources improves estimation of neural responses across stimulus conditions

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.17.951830

N/A

0DataRank · unranked

0 citations

Eric Shea-Brown, Fred Rieke, Alison I. Weber

Identification of Multiple Noise Sources Improves Estimation of Neural Responses across Stimulus Conditions

eNeuro(2021)10.1523/eneuro.0191-21.2021

N/A

0DataRank · unranked

1 citations

Eric Shea-Brown, Fred Rieke, Alison I. Weber

Cortical network structure mediates response to stimulation: an optogenetic study in non-human primates

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.17.444526

N/A

0DataRank · unranked

3 citations

Alexander Greaves-Tunnell, Eric Shea-Brown, Zaïd Harchaoui, Ali Shojaie, Azadeh Yazdan-Shahmorad +1 more

CNN MouseNet: A biologically constrained convolutional neural network model for mouse visual cortex

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.04.463077

N/A

0DataRank · unranked

0 citations

Bryan Tripp, Eric Shea-Brown, Ştefan Mihalaş, Michael A. Buice, Jianghong Shi

A biologically inspired architecture with switching units can learn to generalize across backgrounds

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.08.467807

N/A

0DataRank · unranked

0 citations

Eric Shea-Brown, Ştefan Mihalaş, Doris Voina

A scale-dependent measure of system dimensionality

Patterns(2022)10.1016/j.patter.2022.100555

N/A

0DataRank · unranked

32 citations

Serena Bradde, Vijay Balasubramanian, Nicholas A. Steinmetz, Eric Shea-Brown, Stefano Recanatesi

MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010427

N/A

0DataRank · unranked

21 citations

Bryan Tripp, Eric Shea-Brown, Ştefan Mihalaş, Michael A. Buice, Jianghong Shi

Heterogeneity in Neuronal Dynamics is Learned by Gradient Descent for Temporal Processing Tasks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.19.476851

N/A

0DataRank · unranked

2 citations

D. Mastrovito, Eric Shea-Brown, Ştefan Mihalaş, Chloe N. Winston

From lazy to rich to exclusive task representations in neural networks and neural codes

Current Opinion in Neurobiology(2023)10.1016/j.conb.2023.102780

N/A

0DataRank · unranked

10 citations

Stefano Recanatesi, Eric Shea-Brown, Matthew Farrell

Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks

Neural Computation(2023)10.1162/neco_a_01571

N/A

0DataRank · unranked

7 citations

D. Mastrovito, Eric Shea-Brown, Ştefan Mihalaş, Chloe N. Winston

A biologically inspired architecture with switching units can learn to generalize across backgrounds

Neural Networks(2023)10.1016/j.neunet.2023.09.014

N/A

0DataRank · unranked

3 citations

Eric Shea-Brown, Ştefan Mihalaş, Doris Voina

Modeling functional cell types in spike train data

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011509

N/A

0DataRank · unranked

1 citations

Eric Shea-Brown, Daniela Witten, Michael A. Buice, Daniel N. Zdeblick

Modeling functional cell types in spike train data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.28.530327

N/A

0DataRank · unranked

1 citations

Eric Shea-Brown, Daniela Witten, Michael A. Buice, Daniel N. Zdeblick

Expressive probabilistic sampling in recurrent neural networks

PubMed(2023)10.48550/arxiv.2308.11809

N/A

0DataRank · unranked

1 citations

Linxing Preston Jiang, Rajesh P. N. Rao, Eric Shea-Brown, Shirui Chen

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

PubMed(2023)10.48550/arxiv.2311.10869

N/A

0DataRank · unranked

0 citations

Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown, James Hazelden

Impact of Local Connectivity Patterns on Excitatory-Inhibitory Network Dynamics

PRX Life(2025)10.1103/prxlife.3.023008

N/A

0DataRank · unranked

5 citations

David Dahmen, Stefano Recanatesi, Eric Shea-Brown, Srdjan Ostojic, Yuxiu Shao

Strong and localized recurrence controls dimensionality of neural activity across brain areas

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.02.365072

N/A

0DataRank · unranked

30 citations

Stefano Recanatesi, Xiaoxuan Jia, Gabriel K. Ocker, Luke Campagnola, Stephanie Seeman +4 more

Global and local origins of trial-to-trial spike count variability in visual cortex

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.08.669442

N/A

0DataRank · unranked

0 citations

Ziyu Lu, Alexander Ladd, Pascha Matveev, Eric Shea-Brown, Nicholas A. Steinmetz +1 more