Ustyuzhaninov, I., Cadena, S.A., Froudarakis, E., Fahey, P.G., Walker, E.Y., Cobos, E., Reimer, J., Sinz, F.H., Tolias, A.S., Bethge, M. & Ecker, A.S. Rotation-invariant clustering of functional cell types in primary visual cortex. ICLR (2020, accepted for talk).
Walker, E.Y.*, Cotton, R.J.*, Ma, W.J. & Tolias, A.S. A neural basis of probabilistic computation in visual cortex. Nature Neuroscience (2019).
Walker, E.Y.*, Sinz, F.H.*, Cobos, E., Muhammad, T., Froudarakis, E., Fahey, P.G., Ecker, A.S., Reimer, J., Pitkow, X. & Tolias, A.S. Inception in visual cortex: in vivo-silico loops reveal most exciting images. Nature Neuroscience (2019).
Cadena, S.A., Sinz, F.H., Muhammad, T., Froudarakis, E., Cobos, E., Walker, E.Y., Reimer, J., Bethge, M., Tolias, A.S. & Ecker, A.S. How well do deep neural networks trained on object recognition characterize the mouse visual system? NeurIPS workshop on Real Neurons & Hidden Units (2019).
Li, Z., Brendel, W., Walker, E.Y., Cobos, E., Muhammad, T., Reimer J., Bethge, M., Sinz, F.H., Pitkow, X. & Tolias, A.S. Learning from brains how to regularize machines. NeurIPS (2019).
Günthner, M.F., Cadena, S.A., Denfield, G.H., Walker, E.Y., Gatys, L.A., Tolias, A.S., Bethge, M. & Ecker, A.S. Learning Divisive Normalization in Primary Visual Cortex. Cognitive Computational Neuroscience (2019).
Ecker, A.S., Sinz, F.H., Froudarakis, E., Fahey, P.G., Cadena, S.A., Walker, E.Y., Cobos, E., Reimer, J., Tolias, A.S. & Bethge, M. A rotation-equivariant convolutional neural network model of primary visual cortex. ICLR (2019).
Blessing, C.*, Walker, E.Y.*, Quinn, K.R., Cotton, R.J., Ma, W.J., Tolias, A.S., Nienborg, H. & Sinz, F.H. Neural Likelihood. Cognitive Computational Neuroscience (2019).
Cadena, S.A., Denfield, G.H., Walker, E.Y., Gatys, L.A., Tolias, A.S., Bethge, M. & Ecker, A. Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Computational Biology (2019).
Ecker, A.S., Sinz, F.H., Froudarakis, E., Fahey, P.G., Cadena, S.A., Walker, E.Y., Cobos, E., Reimer, J., Tolias, A.S. & Bethge, M. A rotation-equivariant convolutional neural network. arXiv (2018).
Yatsenko, D., Walker, E.Y. & Tolias, A.S. DataJoint: A Simpler Relational Data Model. arXiv. (2018).
Sinz, F.H., Ecker, A.S., Fahey, P.G., Walker, E.Y., Cobos, E., Froudarakis, E., Yatsenko, D., Pitkow, X., Reimer, J. & Tolias, A.S. Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. NeurIPS (2018).
Jiang, X., Shen, S., Sinz, F.H., Reimer, J., Cadwell, C.R., Berens, P., Ecker, A.S., Patel S., Denfield, G.H., Froudarakis, E., Li, S., Walker, E.Y. & Tolias, A.S. Response to Comment on “Principles of connectivity among morphologically defined cell types in adult neocortex.” Science (2016).
Gurler, D., Doyle, N., Walker E.Y., Magnotti J. & Beauchamp, M. A link between individual differences in multisensory speech perception and eye movements. Attention Perception and Psychophysics (2015).
Walker, E.Y. & Barbour, D.L. Designing in vivo concentration gradients with discrete controlled release: a computational model. Journal of Neural Engineering (2010).
Walker, E.Y. Inception in Visual Cortex. Invited talk at Deep Learning Workshop. Bernstein Conference 2019, Berlin, Germany
Walker, E.Y., Cotton, R.J., Ma, W.J. & Tolias, A.S. Representation of uncertainty informationin V1 cortical population. Rush and Helen Record Neuroscience Forum, 2016, Galveston, TX
Walker, E.Y. & Ma, W.J. Rethinking the aperture problem: a story of competing priors. Vision Sciences Society, 2014, St. Pete, FL
Walker, E.Y., Sinz, F.H., Cobos, E.M., Froudarakis, E., Fahey, P.G., Muhammad, T., Ecker, A.S., Reimer, J., Pitkow, X. & Tolias, A.S. Inception in visual cortex: In vivo-silico loops reveal most exciting images. Society for Neuroscience 2019, Chicago, IL
Shen, S., Sasaki, M., Urai, A.E., Walker, E.Y., Turner, C.A., Winter, O., Bonacchi, N., Rossant, C., Chapuis, G.A., Wells, M.J., Yatsenko, D., Churchland, A.K. & Harris, K.D. The IBL data architecture: DataJoint pipeline. Society for Neuroscience 2019, Chicago, IL
Nguyen, T.T., Shen, S., Yatsenko, D., Walker, E.Y., Reimer, J., Tolias, A.S., Guto, Z.V., Inagaki, H., Economo, M.N., Hires, S.A., Yu, J., Li, N. & Svoboda, K. Canonical pipelines for neurophysiology in DataJoint. Society for Neuroscience 2019, Chicago, IL
Walker, E.Y., Cotton, R.J., Ma, W.J. & Tolias, A.S. Macaque V1 population encodes trial-by-trial sensory uncertainty as likelihood function. Cosyne 2019, Lisbon, Portugal
Guntner, M., Cadena, S., Denfield, G., Walker, E.Y., Gatys, L., Tolias, A.S., Bethge M. & Ecker, A. Learning divisive normalization from natural images to predict responses in primary visual cortex. Cosyne 2019, Lisbon, Portugal
Walker, E.Y., Cotton, R.J., Ma, W.J. & Tolias, A.S. Model-free decoding of likelihood functions from sensory cortical population reveals trial-to-trial probabilistic computation in visual cortex. Society for Neuroscience 2018, San Diego, CA
Sinz, F.H., Walker, E.Y., Froudarakis, E., Fahey, P.G., Ecker, A.S., Cobos, E.M., Reimer, J. & Tolias, A.S. In silico characterization of non-linear response properties of cortical neurons using maximally exciting images. Society for Neuroscience 2018, San Diego, CA
Yatsenko, D., Fahey, P.G., Froudarakis, E., Reimer, J., Walker, E.Y., Sinz, F.H., Cobos, E. & Tolias, A.S. Stimuli for fast mapping of feature tuning in mouse visual cortex. Society for Neuroscience 2018, San Diego, CA
Walker, E.Y., Cotton, R.J., Ma, W.J. & Tolias, A.S. Neuronal populations in macaque primary visual cortex encode uncertainty during perceptual decisions. AREADNE 2016, Santorini, Greece
Walker, E.Y., Cotton, R.J., Ma, W.J. & Tolias, A.S. Representation of uncertainty information in macaque primary visual cortex. Society for Neuroscience 2015, Chicago, IL