Edgar Y. Walker

发表

A neural basis of probabilistic computation in visual cortex

Wei Ji Ma, Andreas S. Tolias, R. James Cotton, 2019, Nature Neuroscience.

Rotation-invariant clustering of functional cell types in primary visual cortex

Alexander S. Ecker, Matthias Bethge, Emmanouil Froudarakis, 2020, ICLR 2020.

Stimulus domain transfer in recurrent models for large scale cortical population prediction on video

Alexander S. Ecker, Xaq Pitkow, Emmanouil Froudarakis, 2018, NeurIPS.

DataJoint: A Simpler Relational Data Model pdf

Andreas S. Tolias, Dimitri Yatsenko, Edgar Y. Walker, 2018, ArXiv.

Data architecture for a large-scale neuroscience collaboration

Cyrille Rossant, Nicholas A. Steinmetz, Shan Shen, 2019 .

Learning From Brains How to Regularize Machines pdf

Matthias Bethge, Andreas S. Tolias, Wieland Brendel, 2019, NeurIPS.

Generalization in data-driven models of primary visual cortex

Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz, 2020, bioRxiv.

DataJoint: managing big scientific data using MATLAB or Python

Alexander S. Ecker, Andreas S. Tolias, Andreas Hoenselaar, 2015, bioRxiv.

Rotation-invariant clustering of neuronal responses in primary visual cortex

Alexander S. Ecker, Matthias Bethge, Emmanouil Froudarakis, 2020, ICLR.

A rotation-equivariant convolutional neural network model of primary visual cortex pdf

Alexander S. Ecker, Matthias Bethge, Emmanouil Froudarakis, 2018, ICLR.

Learning Divisive Normalization in Primary Visual Cortex

Alexander S. Ecker, Matthias Bethge, Andreas S. Tolias, 2019 .

How well do deep neural networks trained on object recognition characterize the mouse visual system

Alexander S. Ecker, Matthias Bethge, Emmanouil Froudarakis, 2019 .

Generalization in data-driven models of primary visual cortex

Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz, 2020, ICLR.

Learning divisive normalization in primary visual cortex

Alexander S. Ecker, Matthias Bethge, Andreas S. Tolias, 2021, PLoS Comput. Biol..

Inception loops discover what excites neurons most using deep predictive models

Alexander S. Ecker, Xaq Pitkow, Emmanouil Froudarakis, 2019, Nature Neuroscience.

Functional connectomics spanning multiple areas of mouse visual cortex

Saumil S. Patel, Edgar Y. Walker, Casey M. Schneider-Mizell, 2021, bioRxiv.

Learning divisive normalization in primary visual cortex

Leon A. Gatys, Alexander S. Ecker, George H. Denfield, 2019, bioRxiv.

A global map of orientation tuning in mouse visual cortex

Emmanouil Froudarakis, Andreas S. Tolias, Dimitri Yatsenko, 2019, bioRxiv.

Neural Likelihood

Edgar Y. Walker, A. Tolias, Fabian H Sinz, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Object manifold geometry across the mouse cortical visual hierarchy

Emmanouil Froudarakis, Uri Cohen, Maria Diamantaki, 2020, bioRxiv.

Rethinking the aperture problem: a story of competing priors

Wei Ji Ma, Edgar Y. Walker, Edgar Y. Walker, 2014 .

Studying the neural representations of uncertainty

Rachel N. Denison, Edgar Y. Walker, W. Ma, 2022, 2202.04324.

Can Functional Transfer Methods Capture Simple Inductive Biases?

Edgar Y. Walker, Fabian H Sinz, Arne Nix, 2022, AISTATS.

Studying the neural representations of uncertainty

Rachel N. Denison, Edgar Y. Walker, W. Ma, 2022, 2202.04324.

DataJoint Elements: Data Workflows for Neurophysiology

Edgar Y. Walker, A. Tolias, Jacob Reimer, 2021, bioRxiv.

A goal-driven deep learning approach for V1 system identification

Alexander S. Ecker, Matthias Bethge, Andreas S. Tolias, 2016 .

Response to Comment on “Principles of connectivity among morphologically defined cell types in adult neocortex”

Alexander S. Ecker, Emmanouil Froudarakis, Philipp Berens, 2016, Science.

Revealing nonlinear neural decoding by analyzing choices

Xaq Pitkow, Andreas S. Tolias, Qianli Yang, 2018, Nature Communications.

NEURD: automated proofreading and feature extraction for connectomics

Edgar Y. Walker, Paul G. Fahey, H. Seung, 2023, bioRxiv.

A flow-based latent state generative model of neural population responses to natural images

Mohammad Ali Bashiri, Edgar Y. Walker, A. Tolias, 2021, bioRxiv.

Deep convolutional models improve predictions of macaque V1 responses to natural images

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, 2017, bioRxiv.

Functional connectomics spanning multiple areas of mouse visual cortex

Saumil S. Patel, Edgar Y. Walker, Paul G. Fahey, 2021, bioRxiv.

NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions.

Edgar Y. Walker, Paul G. Fahey, H. Seung, 2023, bioRxiv : the preprint server for biology.

Object manifold geometry across the mouse cortical visual hierarchy

Edgar Y. Walker, H. Sompolinsky, Philipp Berens, 2020, bioRxiv.

A neural basis of probabilistic computation in visual cortex

Wei Ji Ma, Andreas S. Tolias, R. James Cotton, 2018, Nature Neuroscience.

A link between individual differences in multisensory speech perception and eye movements

Edgar Y. Walker, M. Beauchamp, D. Gurler, 2015, Attention, perception & psychophysics.

Designing in vivo concentration gradients with discrete controlled release: a computational model

Edgar Y. Walker, D. Barbour, 2010, Journal of neural engineering.

Functional connectomics reveals general wiring rule in mouse visual cortex

Edgar Y. Walker, Paul G. Fahey, H. Seung, 2023, bioRxiv.

Response to Comment on “Principles of connectivity among morphologically defined cell types in adult neocortex”

Alexander S. Ecker, George H. Denfield, Saumil S. Patel, 2016, Science.

Studying the neural representations of uncertainty.

Rachel N. Denison, Edgar Y. Walker, W. Ma, 2022, Nature neuroscience.