Eric Shea‐Brown - Publications, H-index & Citations

Eric Shea‐Brown

university of washington

36H指数

191论文数

4.7K被引数

收录论文 17

发表时间

Strong and localized recurrence controls the dimensionality of neural activity across brain areas 强且局部的复发控制着跨脑区的神经活动维度

Nature Neuroscience

IF20

2026-08-19

OAAI

David Dahmen; Stefano Recanatesi; Xiaoxuan Jia; Gabriel K. Ocker; Nilufar Lahiji; Simon Musall; Luke Campagnola; Stephanie Seeman; Tim Jarsky; Moritz Helias; Eric Shea-Brown

A biologically inspired architecture with switching units can learn to generalize across backgrounds*具有交换单元的受生物启发的体系结构可以学习跨背景推广 *

NEURAL NETWORKS

IF6.3

2023-11-01

OAAI

Voina, Doris; Shea-Brown, Eric; Mihalas, Stefan

Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion (vol 4, pg 564, 2022)

NATURE MACHINE INTELLIGENCE

IF23.9

2022-10-19

OAAI

Farrell, Matthew; Recanatesi, Stefano; Moore, Timothy; Lajoie, Guillaume; Shea-Brown, Eric

A scale-dependent measure of system dimensionality

PATTERNS

IF7.4

2022-08-01

OAAI

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

Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion

NATURE MACHINE INTELLIGENCE

IF23.9

2022-06-22

OAAI

Farrell, Matthew; Recanatesi, Stefano; Moore, Timothy; Lajoie, Guillaume; Shea-Brown, Eric

Cell-type-specific neuromodulation guides synaptic credit assignment in a spiking neural network

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

IF9.1

2021-12-16

OAAI

Liu, Yuhan Helena; Smith, Stephen; Mihalas, Stefan; Shea-Brown, Eric; Sumbul, Uygar

Autoencoder networks extract latent variables and encode these variables in their connectomes 自动编码器网络提取潜在变量并将这些变量编码到它们的连接组中

NEURAL NETWORKS

IF6.3

2021-09-01

OAAI

Farrell, Matthew; Recanatesi, Stefano; Mihalas, Stefan; Reid, R. Clay; Shea-Brown, Eric

Predictive learning as a network mechanism for extracting low-dimensional latent space representations

NATURE COMMUNICATIONS

IF15.7

2021-03-03

OAAI

Recanatesi, Stefano; Farrell, Matthew; Lajoie, Guillaume; Deneve, Sophie; Rigotti, Mattia; Shea-Brown, Eric

Nonlinear convergence boosts information coding in circuits with parallel outputs 非线性收敛增强了具有并行输出的电路中的信息编码

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

IF9.1

2021-02-15

OAAI

Gutierrez, Gabrielle J.; Rieke, Fred; Shea-Brown, Eric T.

Network Dynamics Governed by Lyapunov Functions: From Memory to Classification

TRENDS IN NEUROSCIENCES

IF15.1

2020-07-01

OAAI

Stern, Merav; Shea-Brown, Eric

High-resolution data-driven model of the mouse connectome

NETWORK NEUROSCIENCE

IF3.1

2019-01-01

OAAI

Knox, Joseph E.; Harris, Kameron Decker; Graddis, Nile; Whitesell, Jennifer D.; Zeng, Hongkui; Harris, Julie A.; Shea-Brown, Eric; Mihalas, Stefan

Predicting how and when hidden neurons skew measured synaptic interactions

plos biology

IF3.6

2018-10-22

OAAI

Brinkman, Braden A. W.; Rieke, Fred; Shea-Brown, Eric; Buice, Michael A.

Computational Neuroscience: Mathematical and Statistical Perspectives

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION

IF0

2018-03-07

OAAI

Kass, Robert E.; Amari, Shun-Ichi; Arai, Kensuke; Brown, Emery N.; Diekman, Casey O.; Diesmann, Markus; Doiron, Brent; Eden, Uri T.; Fairhall, Adrienne L.; Fiddyment, Grant M.; Fukai, Tomoki; Gruen, Sonja; Harrison, Matthew T.; Helias, Moritz; Nakahara, Hiroyuki; Teramae, Jun-nosuke; Thomas, Peter J.; Reimers, Mark; Rodu, Jordan; Rotstein, Horacio G.; Shea-Brown, Eric; Shimazaki, Hideaki; Shinomoto, Shigeru; Yu, Byron M.; Kramer, Mark A.

Dynamic representation of partially occluded objects in primate prefrontal and visual cortex

ELIFE

IF0

2017-09-19

OAAI

Fyall, Amber M.; El-Shamayleh, Yasmine; Choi, Hannah; Shea-Brown, Eric; Pasupathy, Anitha

Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code

NEURON

IF15

2016-01-01

108

OAAI