Preprints

  1. Zhang, K., & Tavoni, G. (2024). Maximizing memory capacity in heterogeneous networks. In bioRxiv. Cold Spring Harbor Laboratory; .

Journal articles

  1. Bromberg-Martin, E. S., Feng, Y.-Y., Ogasawara, T., White, J. K., Zhang, K., & Monosov, I. E. (2024). A neural mechanism for conserved value computations integrating information and rewards. Nature Neuroscience, 27(1), 159–175.
  2. Ogasawara, T., Sogukpinar, F., Zhang, K., Feng, Y.-Y., Pai, J., Jezzini, A., & Monosov, I. E. (2022). A primate temporal cortex–zona incerta pathway for novelty seeking. Nature Neuroscience, 25(1), 50–60.
  3. Zhang, K., Bromberg-Martin, E. S., Sogukpinar, F., Kocher, K., & Monosov, I. E. (2022). Surprise and recency in novelty detection in the primate brain. Current Biology, 32(10), 2160–2173.
  4. White, J. K., Bromberg-Martin, E. S., Heilbronner, S. R., Zhang, K., Pai, J., Haber, S. N., & Monosov, I. E. (2019). A neural network for information seeking. Nature Communications, 10(1), 5168.
  5. Zhang, K., Chen, C. D., & Monosov, I. E. (2019). Novelty, salience, and surprise timing are signaled by neurons in the basal forebrain. Current Biology, 29(1), 134–142.

Thesis

  1. Zhang, K. (2022). Salience Coding in the Basal Forebrain and the Heterogeneous Underpinnings Underlying Novelty Computations [PhD thesis]. In ProQuest Dissertations and Theses (p. 152).