檢索結果 - Eric Shea‐Brown

  • Showing 1 - 20 results of 20
Refine Results
  1. 1
    The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes

    The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes 由 Yu Hu, Joel Zylberberg, Eric Shea‐Brown

    出版 2014
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  2. 2
    Information theoretic approaches to understanding circuit function

    Information theoretic approaches to understanding circuit function 由 Adrienne L. Fairhall, Eric Shea‐Brown, Andrea K. Barreiro

    出版 2012
    獲取全文
    Revisão
    加到收藏夾
    Saved in:
  3. 3
    Impact of Network Structure and Cellular Response on Spike Time Correlations

    Impact of Network Structure and Cellular Response on Spike Time Correlations 由 James Trousdale, Yu Hu, Eric Shea‐Brown, Krešimir Josić́

    出版 2012
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  4. 4
    Motif statistics and spike correlations in neuronal networks

    Motif statistics and spike correlations in neuronal networks 由 Yu Hu, James Trousdale, Krešimir Josić́, Eric Shea‐Brown

    出版 2013
    獲取全文
    Artigo
    加到收藏夾
    Saved in:
  5. 5
    Robust information propagation through noisy neural circuits

    Robust information propagation through noisy neural circuits 由 Joel Zylberberg, Alexandre Pouget, Peter E. Latham, Eric Shea‐Brown

    出版 2017
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  6. 6
    Constructing Precisely Computing Networks with Biophysical Spiking Neurons

    Constructing Precisely Computing Networks with Biophysical Spiking Neurons 由 Michael A. Schwemmer, Adrienne L. Fairhall, Sophie Denève, Eric Shea‐Brown

    出版 2015
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  7. 7
    Correlation and Synchrony Transfer in Integrate-and-Fire Neurons: Basic Properties and Consequences for Coding

    Correlation and Synchrony Transfer in Integrate-and-Fire Neurons: Basic Properties and Consequences for Coding 由 Eric Shea‐Brown, Krešimir Josić́, Jaime de la Rocha, Brent Doiron

    出版 2008
    獲取全文
    Artigo
    加到收藏夾
    Saved in:
  8. 8
    Stimulus-Dependent Correlations and Population Codes

    Stimulus-Dependent Correlations and Population Codes 由 Krešimir Josić́, Eric Shea‐Brown, Brent Doiron, Jaime de la Rocha

    出版 2009
    獲取全文
    Artigo
    加到收藏夾
    Saved in:
  9. 9
    Linking structure and activity in nonlinear spiking networks

    Linking structure and activity in nonlinear spiking networks 由 Gabriel Koch Ocker, Krešimir Josić́, Eric Shea‐Brown, Michael A. Buice

    出版 2017
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  10. 10
    Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity

    Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity 由 Stefano Recanatesi, Gabriel Koch Ocker, Michael A. Buice, Eric Shea‐Brown

    出版 2019
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  11. 11
    Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code

    Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code 由 Joel Zylberberg, Jon Cafaro, Maxwell H. Turner, Eric Shea‐Brown, Fred Rieke

    出版 2016
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  12. 12
    How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?

    How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits? 由 Braden A. W. Brinkman, Alison I. Weber, Fred Rieke, Eric Shea‐Brown

    出版 2016
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  13. 13
    Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion

    Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion 由 Matthew Farrell, Stefano Recanatesi, Timothy C. Moore, Guillaume Lajoie, Eric Shea‐Brown

    出版 2022
    獲取全文
    Artigo
    加到收藏夾
    Saved in:
  14. 14
    Dynamic representation of partially occluded objects in primate prefrontal and visual cortex

    Dynamic representation of partially occluded objects in primate prefrontal and visual cortex 由 Amber M Fyall, Yasmine El-Shamayleh, Hannah Choi, Eric Shea‐Brown, Anitha Pasupathy

    出版 2017
    獲取全文
    Artigo
    加到收藏夾
    Saved in:
  15. 15
    Predictive learning as a network mechanism for extracting low-dimensional latent space representations

    Predictive learning as a network mechanism for extracting low-dimensional latent space representations 由 Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie, Sophie Denève, Mattia Rigotti, Eric Shea‐Brown

    出版 2021
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  16. 16
    From the statistics of connectivity to the statistics of spike times in neuronal networks

    From the statistics of connectivity to the statistics of spike times in neuronal networks 由 Gabriel Koch Ocker, Yu Hu, Michael A. Buice, Brent Doiron, Krešimir Josić́, Robert Rosenbaum, Eric Shea‐Brown

    出版 2017
    獲取全文 獲取全文
    Revisão
    加到收藏夾
    Saved in:
  17. 17
    High-resolution data-driven model of the mouse connectome

    High-resolution data-driven model of the mouse connectome 由 Joseph E. Knox, Kameron Decker Harris, Nile Graddis, Jennifer D. Whitesell, Hongkui Zeng, Julie A. Harris, Eric Shea‐Brown, Ştefan Mihalaş

    出版 2018
    獲取全文 獲取全文
    Artigo
    加到收藏夾
    Saved in:
  18. 18
    Computational Neuroscience: Mathematical and Statistical Perspectives

    Computational Neuroscience: Mathematical and Statistical Perspectives 由 Robert E. Kass, S. Amari, Kensuke Arai, Emery N. Brown, Casey O. Diekman, Markus Diesmann, Brent Doiron, Uri T. Eden, Adrienne L. Fairhall, Grant M. Fiddyment, Tomoki Fukai, Sonja Grün, Matthew Tom Harrison, Moritz Helias, Hiroyuki Nakahara, Jun-nosuke Teramae, Peter J. Thomas, Mark Reimers, Jordan Rodu, Horacio G. Rotstein, Eric Shea‐Brown, Hideaki Shimazaki, Shigeru Shinomoto, Byron M. Yu, Mark Kramer

    出版 2017
    獲取全文
    Artigo
    加到收藏夾
    Saved in:
  19. 19
    A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex

    A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex 由 Saskia de Vries, Jérôme Lecoq, Michael A. Buice, Peter A. Groblewski, Gabriel Koch Ocker, Michael Oliver, David Feng, Nicholas Cain, Peter Ledochowitsch, Daniel Millman, Kate Roll, Marina Garrett, Tom Keenan, Leonard Kuan, Ştefan Mihalaş, Shawn R. Olsen, Carol L. Thompson, Wayne Wakeman, Jack Waters, Derric Williams, Chris Barber, Nathan Berbesque, Brandon Blanchard, Nicholas Bowles, Shiella Caldejon, Linzy Casal, Andrew Cho, Sissy Cross, Chinh Dang, Tim Dolbeare, Melise M. Edwards, John Galbraith, Nathalie Gaudreault, Fiona Griffin, Perry Hargrave, Robert Howard, Lawrence Huang, Sean Jewell, Nika H. Keller, Ulf Knoblich, Josh Larkin, Rachael Larsen, Chris Lau, Eric Lee, Felix Lee, Arielle Leon, Lu Li, Fuhui Long, Jennifer Luviano, Kyla Mace, Thuyanh V. Nguyen, Jed Perkins, Miranda Robertson, Sam Seid, Eric Shea‐Brown, Jianghong Shi, Nathan Sjoquist, Cliff Slaughterbeck, David J. Sullivan, Ryan Valenza, Casey White, Ali Williford, Daniela Witten, Jun Zhuang, Hongkui Zeng, Colin Farrell, Lydia Ng, Amy Bernard, John W. Phillips, R. Clay Reid, Christof Koch

    出版 2018
    獲取全文 獲取全文
    Pré-impressão
    加到收藏夾
    Saved in:
  20. 20
    A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex

    A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex 由 Saskia de Vries, Jérôme Lecoq, Michael A. Buice, Peter A. Groblewski, Gabriel Koch Ocker, Michael Oliver, David Feng, Nicholas Cain, Peter Ledochowitsch, Daniel Millman, Kate Roll, Marina Garrett, Tom Keenan, Leonard Kuan, Ştefan Mihalaş, Shawn R. Olsen, Carol L. Thompson, Wayne Wakeman, Jack Waters, Derric Williams, Chris Barber, Nathan Berbesque, Brandon Blanchard, Nicholas Bowles, Shiella Caldejon, Linzy Casal, Andrew Cho, Sissy Cross, Chinh Dang, Tim Dolbeare, Melise M. Edwards, John Galbraith, Nathalie Gaudreault, Terri L. Gilbert, Fiona Griffin, Perry Hargrave, Robert Howard, Lawrence Huang, Sean Jewell, Nika H. Keller, Ulf Knoblich, Josh Larkin, Rachael Larsen, Chris Lau, Eric Lee, Felix Lee, Arielle Leon, Lu Li, Fuhui Long, Jennifer Luviano, Kyla Mace, Thuyanh V. Nguyen, Jed Perkins, Miranda Robertson, Sam Seid, Eric Shea‐Brown, Jianghong Shi, Nathan Sjoquist, Cliff Slaughterbeck, David J. Sullivan, Ryan Valenza, Casey White, Ali Williford, Daniela Witten, Jun Zhuang, Hongkui Zeng, Colin Farrell, Lydia Ng, Amy Bernard, John W. Phillips, R. Clay Reid, Christof Koch

    出版 2019
    獲取全文
    Artigo
    加到收藏夾
    Saved in:

檢索工具: