The refresh rate of overhead projectors may affect the perception of fast moving objects: a modelling study

Berry, M., Brivanlou, I., Jordan, T., & Meister, M. (1999). Anticipation of moving stimuli by the retina. Nature, 398(6725), 334–338.

Article  CAS  PubMed  Google Scholar 

Cessac, B., Demairy, E., Kartsaki, E., Kloczko, T., Le Breton, C., Niclausse, N., & Wintz, J. (2025). Macular: a multi-scale simulation platform for the retina and the primary visual system. (submitted).

Cessac, B. (2022). Retinal processing: Insights from mathematical modelling. Journal of Imaging, 8(1), 14.

Article  PubMed  PubMed Central  Google Scholar 

Chemla, S. (2010). A biophysical cortical column model for optical signal analysis (Unpublished doctoral dissertation). School of Information and Communication Sciences.

Chen, E. Y., Marre, O., Fisher, C., Schwartz, G., Levy, J., da Silviera, R. A., & Berry, M. (2013). Alert response to motion onset in the retina. Journal of Neuroscience, 33(1), 120–132.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Daly, S. J., Xu, N., Crenshaw, J., & Zunjarrao, V. J. (2014). A psychophysical study exploring judder using fundamental signals and complex imagery. Smpte Motion Imaging Journal, 124, 62–70.

Article  Google Scholar 

Di Volo, M., Romagnoni, A., Capone, C., & Destexhe, A. (2019). Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation. Neural Computation, 31(4), 653–680.

Article  PubMed  Google Scholar 

Duyck, M., Wexler, M., Castet, E., & Collins, T. (2018). Motion Masking by Stationary Objects: A Study of Simulated Saccades. i-Perception, 9(3).

Ebert, S., & Cessac, B. (2025). Distinct inhibitory connectivity motifs trigger distinct forms of anticipation in the retinal network. (submitted).

Emonet, J. (2024). A retino-cortical model to study movement-generated waves in the visual system Computer Science. ValbonneNice Côte d’Azur.

Emonet, J., Souihel, S., Di Volo, M., Destexhe, A., Chavane, F., & Cessac, B. (2025). A chimera model for motion anticipation in the retina and the primary visual cortex. Neural Computation, 37(11), 1925–1974. https://doi.org/10.1162/neco.a.34

Article  PubMed  Google Scholar 

Gepshtein, S., & Kubovy, M. (2007). The lawful perception of apparent motion. Journal of Vision, 7(8), 9–9. https://doi.org/10.1167/7.8.9

Article  PubMed  Google Scholar 

Jindal, A., Wolski, K., Myszkowski, K., & Mantiuk, R.K. (2021). Perceptual model for adaptive local shading and refresh rate. ACM Transactions on Graphics, 40(6). https://doi.org/10.1145/3478513.3480514.

Kartsaki, E., Hilgen, G., Sernagor, E., & Cessac, B. (2024). How does the inner retinal network shape the ganglion cells receptive field: a computational study. Neural Computation, 36(6), 1041–1083. https://doi.org/10.1162/neco_a_01663

Article  PubMed  Google Scholar 

Kelly, D. H. (1979). Motion and vision. ii. stabilized spatio-temporal threshold surface. The Journal of the Optical Society of America, 69(10), 1340–1349. https://doi.org/10.1364/JOSA.69.001340

Article  CAS  PubMed  Google Scholar 

Kolers, P.A. (1972). Aspects of motion perception (1. ed.). Oxford [u.a: Pergamon Press.

Mackin, A., Noland, K.C., Bull, D.R. (2016). The visibility of motion artifacts and their effect on motion quality. In 2016 IEEE international conference on image processing (icip) (p. 2435–2439).

Souihel, S., & Cessac, B. (2021). On the potential role of lateral connectivity in retinal anticipation. The Journal of Mathematical Neuroscience, 11(3). https://doi.org/10.1186/s13408-020-00101-z.

Watson, A. (2013). High frame rates and human vision: A view through the window of visibility. Smpte Motion Imaging Journal, 122, 18–32. https://api.semanticscholar.org/CorpusID:9511214.

Watson, A., & Ahumada, A. (1983). A look at motion in the frequency domain. Memo: NASA Tech.

Google Scholar 

Westheimer, G. (1954). Mechanism of saccadic eye movements. A.M.A. Archives of Ophthalmology, 52, 710–723.

Article  CAS  PubMed  Google Scholar 

Zerlaut, Y., Chemla, S., Chavane, F., & Destexhe, A. (2018). Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. The Journal of Computational Neuroscience, 44(1), 45–61. https://doi.org/10.1007/s10827-017-0668-2

Article  PubMed  Google Scholar 

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