Walker, Edgar Y.

Functional connectomics spanning multiple areas of mouse visual cortex

The MICrONS Consortium, Bae, J. A., Baptiste, M., Bishop, C. A., Bodor, A. L., Brittain, D., Buchanan, J., Bumbarger, D. J., Castro, M. A., Celii, B., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

Visual perception and processing mechanismsNeuroscience and Neuropharmacology Research

Cited by 214

Studying the neural representations of uncertainty

Walker, E. Y., Pohl, S., Denison, R. N., Barack, D. L., Lee, J., Block, N., Ma, W. J., & Meyniel, F. (2023) · Nature Neuroscience

Memory and Neural MechanismsNeural dynamics and brain function

Cited by 56

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

Jiang, X., Shen, S., Sinz, F., Reimer, J., Cadwell, C. R., Berens, P., Ecker, A. S., Patel, S., Denfield, G. H., Froudarakis, E., et al. (2016) · Science

Neuroscience and Neuropharmacology ResearchNeural dynamics and brain function

Cited by 13

Data science and its future in large neuroscience collaborations

Schottdorf, M., Yu, G., & Walker, E. Y. (2024) · Neuron

Research Data Management PracticesInterdisciplinary Research and Collaboration

Cited by 11

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability

Kuo, P.-C., Hou, H., Dabney, W., & Walker, E. (2025) · Advances in Neural Information Processing Systems 38

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 0

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability

Kuo, P.-C., Hou, H., Dabney, W., & Walker, E. Y. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0