Curriculum Vitae

A complete CV is available on Google Scholar

Selected Publications

Journal Articles

  • Oleskiw, T.D., Lieber, J.D., Simoncelli, E.P., Movshon, J.A. Foundations of visual form selectivity for neurons in macaque V1 and V2. bioRxiv:2024.03.04.583307, March 2024.
  • Lieber, J.D., Oleskiw, T.D., Simoncelli, E.P., Movshon, J.A. Responses of neurons in macaque V4 to object and texture images. bioRxiv:2024.02.20.581273, February 2024.
  • Oleskiw, T.D., Bair, W., Shea-Brown, E., Brunel, N. Firing rate of the leaky integrate-and-fire neuron with stochastic conductance-based synaptic inputs with short decay times. arXiv:2002.11181 [q-bio.NC], February 2020.
  • Elder J.H., Oleskiw, T.D., Fruend, I. The role of global cues in the perceptual grouping of natural shapes. Journal of Vision 18(12):14, November 2018.
  • Nowack, A., Pasupathy, A. Joint coding of shape and blur in area V4. Nature Communications, 9(1):466, January 2018. Doi Reprint
  • Oleskiw, T.D., Pasupathy, A., Bair, W., Spectral receptive fields do not explain tuning for boundary curvature in V4. J. Neurophysiol. 112 (2014) , 2114–2122. Doi Reprint
  • James H. Elder, Timothy D. Oleskiw, Alex Yakubovich, and Gabriel Peyré. 2013. Editor’s choice article: On growth and formlets: Sparse multi-scale coding of planar shape. Image Vision Comput. 31, 1 (January 2013), 1-13. Doi Reprint

Refereed Proceedings

  • Oleskiw, T.D.; Elder, J.H.; Peyré, G., “On growth and formlets: Sparse multi-scale coding of planar shape,” Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp.459-466, 13-18 June 2010 Doi Reprint

Accepted Abstracts

  • Lieber, J.D., Oleskiw, T.D., Simoncelli E.P., Movshon J.A. Responses of neural populations in macaque v4 to object and texture images. AREADNE 2024
  • Oleskiw, T.D., Raghavan, R.T., Lieber, J.D., Simoncelli, E.P., Movshon, J.A.Mapping models of V1 and V2 selectivity with local spectral reverse correlation. VSS 2024
  • Sutter, A., Lee, G., Oleskiw, T.D., Majaj, N., Kiorpes, L. Movshon, J.A. Evaluating shape selectivity from simultaneous multi-unit recordings along the ventral visual pathway. VSS 2023
  • Lieber, J.D., Oleskiw, T.D., Simoncelli, E.P., Movshon, J.A.Neurons in macaque V4 prefer natural images to scrambled textures VSS 2023
  • Elder, J.H., Oleskiw, T.D., Fruend, I., Lee, G., Sutter, A., Pasupathy, A., Simoncelli, E.P., Movshon, J.A., Kiorpes, L., Majaj, N. Efficient coding of local 2D shape MODVIS 2023
  • Oleskiw, T.D., Elder, J.H., Lee, G., Sutter, A., Pasupathy, A., Simoncelli, E.P., Movshon, J.A., Kiorpes, L., Majaj, N. V4 neurons are tuned for local and non-local features of natural planar shape. Cosyne 2023, VSS 2023.
  • Oleskiw, T.D., Lieber, J.D., Simoncelli, E.P., Movshon, J.A. A two-layer model explains higher-order feature selectivity of V2 neurons. MODVIS 2022.
  • Oleskiw, T.D., Diaz-Pacheco R.R., Movshon, J.A., Simoncelli, E.P. A two-stage model of V2 demonstrates efficient higher-order feature representation. COSYNE 2021, V-VSS 2021.
  • Oleskiw, T.D., Lieber, J.D., Simoncelli, E.P., Movshon, J.A. Testing a two-stage model of stimulus selectivity in macaque V2. V-VSS 2020.
  • Oleskiw, T.D., Simoncelli, E.P. A canonical computational model of cortical area v2. VSS 2019.
  • Oleskiw, T.D., Simoncelli, E.P. Learning a model for visual texture selectivity from natural images. Neuroscience 2018.
  • Ziemba, C., Oleskiw, T.D., Perez, R., Simoncelli, E., Movshon J.A. Selectivity of contextual modulation in macaque v1 and v2. Neuroecience 2017.