Thomas E. Yerxa

Orcid: 0000-0003-2687-0816

Affiliations:
  • New York University, Center for Neural Science, New York, NY, USA
  • University of California, Berkeley, Department of Physics, CA, USA


According to our database1, Thomas E. Yerxa authored at least 4 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations.
CoRR, 2024

2023
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020
Efficient sensory coding of multidimensional stimuli.
PLoS Comput. Biol., 2020


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