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Scholarly articles referencing pulse2percept

  • BW Brunton, M Beyeler (2019). Data-driven models in human neuroscience and neuroengineering. Current Opinion in Neurobiology 58, 21-29, doi:10.1016/j.conb.2019.06.008.
  • A Lozano, JS Suarez, C Soto-Sanchez, J Garrigos, J-J Martinez, JM Ferrandez Vicente, E Fernandez-Jover (2019). Neurolight Alpha: Interfacing Computational Neural Models for Stimulus Modulation in Cortical Visual Neuroprostheses. International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC), doi:10.1007/978-3-030-19591-5_12.
  • NP Cottaris, H Jiang, X Ding, BA Wandell, DH Brainard (2019). A computational-observer model of spatial contrast sensitivity: Effects of wave-front-based optics, cone-mosaic structure, and inference engine. Journal of Vision 19(8), doi:10.1167/19.4.8.
  • L Wang, F Sharifian, J Napp, C Nath, S Pollmann (2018). Cross-task perceptual learning of object recognition in simulated retinal implant perception. Journal of Vision 18(22), doi:10.1167/18.13.22.
  • M Beyeler, D Nanduri, JD Weiland, A Rokem, GM Boynton, I Fine (2019). A model of ganglion axon pathways accounts for percepts elicited by retinal implants. Scientific Reports 9(1):9199, doi:10.1038/s41598-019-45416-4.
  • J Huth, T Masquelier, A Arleo (2018). Convis: A toolbox to fit and simulate filter-based models of early visual processing. Frontiers in Neuroinformatics, doi:10.3389/fninf.2018.00009.
  • J Steffen, J Napp, S Pollmann, K Tönnies (2018). Perception Enhancement for Bionic Vision - Preliminary Study on Object Classification with Subretinal Implants. Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 169-177. doi:10.5220/0006648901690177.
  • JR Golden, C Erickson-Davis, NP Cottaris, N Parthasarathy, F Rieke, DH Brainard, BA Wandell, EJ Chichilnisky (2018): Simulation of visual perception and learning with a retinal prosthesis. bioRxiv 206409, doi:10.1101/206409.

Additional references

These studies are referenced throughout the Documentation:

[Beyeler2019]M Beyeler, D Nanduri, JD Weiland, A Rokem, GM Boynton, I Fine (2019). A model of ganglion axon pathways accounts for percepts elicited by retinal implants. Scientific Reports 9(1):9199, doi:10.1038/s41598-019-45416-4.
[Hayes2003]JS Hayes et al. (2003). Visually guided performance of simple tasks using simulated prosthetic vision. Artif Organs 27, 1016-1028.
[Jansonius2009]NM Jansonius, J Nevalainen, B Selig, LM Zangwill, PA Sample, WM Budde, JB Jonas, WA Lagreze, PJ Airaksinen, R Vonthein, LA Levin, J Paetzold, U Schiefer (2009). A mathematical description of nerve fiber bundle trajectories and their variability in the human retina. Vision Research 49(17), 2157-63, doi:10.1016/j.visres.2009.04.029.
[Thompson2003]RW Thompson Jr, GD Barnett, MS Humayun, G Dagnelie (2003). Facial recognition using simulated prosthetic pixelized vision. Invest Ophthalmol Vis Sci 44, 5035-5042.
[Watson2014]A.B. Watson (2014). A formula for human retinal ganglion cell receptive field density as a function of visual field location. Journal of Vision 14(7):1-17, doi:10.1167/14.7.15.