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Our papers include the following:

  1. Wang B and Ponce CR, Factorized convolution models for interpreting neuron-guided images synthesis, Conference on Cognitive and Computational Neuroscience, 2022 (DOI:10.32470/CCN.2022.1034-0).

  2. Wang and Ponce, High-performance Evolutionary Algorithms for Online Neuron Control, Genetic and Evolutionary Computation Conference, 10.48550/ARXIV.2204.06765 (2022)
  3. Bardon, Xiao, Ponce, Livingstone and Kreiman, Face neurons encode nonsemantic features, PNAS, 119 (16) e2118705119 (2022)
  4. Rose, Johnson, Wang and Ponce, Visual prototypes of the ventral stream are attuned to complexity and gaze behavior, Nature Communications, 12, 6723 (2021).
  5. Wang B and Ponce CR, A Geometric Analysis of Deep Generative Image Models and Its Applications. In Proc. International Conference on Learning Representations, 2021.
  6. Arcaro MJ, Ponce CR, Livingstone M. The neurons that mistook a hat for a face. Elife. 2020; 9:e53798. (2020).
  7. Ponce CR, Xiao W, Schade PF, Hartmann TS, Kreiman G, and Livingstone MS (2019) Evolving images for visual neurons using a deep generative network reveals coding principles and neuronal preferences, Cell. 2019 May 2;177(4):999-1009
  8. Ponce CR, Lomber SG, Livingstone MS. (2017) Posterior inferotemporal cortex cells use multiple visual pathways for shape encoding. J. Neurosci. May 10;37(19):5019-5034.
  9. Ponce CR, Lomber SG, Born RT. (2008) Integrating motion and depth via parallel pathways. Nat Neurosci. Feb; 11(2):216-23.

See a full list of publications »


One explanation of a technique commonly used by our group:


Some explainer videos from the Society for Neuroscience meeting: