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Saccadic model and stability of equilibrium point with different sigmoidal functions

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Abstract

Saccades are defined as rapid eye movements that occur between gaze fixation and the desired object and can be either reflexive or voluntary. These voluntary gaze movements are made of a coordinated series of head and eye movements that have been modeled by a dynamical system and are quick or slow. In particular, one of the purposes of modeling saccadic eye movements based on mathematical dynamical models is to anticipate the experimental data behavior of this system. Considering how it is possible to enhance the saccadic model based on its basic model, namely the burst neurons and resettable integrator model, we introduce alternative functions that can more effectively represent the response of the bursters to an error signal. So, we utilize a special sigmoidal function, that is, the logistic function, and the Naka-Rushton function. These functions are exceedingly close to the experimental data and contribute to solving the absence of a derivative at the equilibrium point in the original saccadic model. Employing new functions, we also investigate the dynamical behavior of the modified saccadic model, in which the role of omnipause cells is considered, and evaluated the stability, instability, and existence or lack of bifurcation. Since the saccadic model has a lot of parameters that can change, we use simulation results to compare the changes of the phase portrait and time series in special and fundamental conditions. Another focus of the numerical simulations is to compare the changes in the model’s main factors against each other, i.e., left burst neuron, right burst neuron, motor error, and fringe rates.

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All data generated or analyzed during this study are included in this published article.

References

  1. S.H. Ather, Catastrophe theory in work from heartbeats to eye movements. Biol. Cybern. 115(1), 39–41 (2021)

    Article  MathSciNet  Google Scholar 

  2. R. Engbert, R. Kliegl, Mathematical models of eye movements in reading: a possible role for autonomous saccades. Biol. Cybern. 85(2), 77–87 (2001)

    Article  MATH  Google Scholar 

  3. V. Kuperman, J.A. Van Dyke, R. Henry, Eye-movement control in ran and reading. Sci. Stud. Read. 20(2), 173–188 (2016)

    Article  Google Scholar 

  4. H. Li, J. Luo, J. Chen, Z. Liu, S. Xie, Development of robot bionic eye with spherical parallel manipulator based on oculomotor control model. Organ 1, 12 (2012)

    Google Scholar 

  5. O. Akman, Analysis of a nonlinear dynamics model of the saccadic system. PhD thesis, University of Manchester Institute of Science and Technology (UMIST) (2003)

  6. O. Akman, D. Broomhead, R. Abadi, R. Clement, Eye movement instabilities and nystagmus can be predicted by a nonlinear dynamics model of the saccadic system. J. Math. Biol. 51(6), 661–694 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  7. O. Akman, D. Broomhead, R. Clement, Mathematical models of eye movements. Math. Today 39(2), 54–59 (2003)

    MathSciNet  Google Scholar 

  8. F. S. Mousavinejad, M. Fatehi Nia, A discrete saccadic model and bursting. Int. J. Bifurc. Chaos 32(07), 2250107 (2022)

    Article  MathSciNet  MATH  Google Scholar 

  9. J.I. Specht, L. Dimieri, E. Urdapilleta, G. Gasaneo, Minimal dynamical description of eye movements. Eur. Phys. J. B 90(2), 1–12 (2017)

    Article  MathSciNet  Google Scholar 

  10. Z. Xiangyun, W. Zhiqiang, Dynamics of a horizontal saccadic oculomotor system with colored noise. Chin. J. Phys. 56(5), 2052–2060 (2018)

    Article  Google Scholar 

  11. W. Dai, I. Selesnick, J.-R. Rizzo, J. Rucker, T. Hudson, Detection of normal and slow saccades using implicit piecewise polynomial approximation. J. Vis. 21(6), 8–8 (2021)

    Article  Google Scholar 

  12. J.D. Enderle, W. Zhou, Models of horizontal eye movements, part II: a 3rd order linear saccade model. Synth. Lect. Quantum Comput. 5(1), 1–159 (2010)

    Google Scholar 

  13. D. Laptev, O. Akman, R.A. Clement, Stability of the saccadic oculomotor system. Biol. Cybern. 95(3), 281–287 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  14. D.A. Robinson, Neurophysiology, pathology and models of rapid eye movements. Prog. Brain Res. 267(1), 287–317 (2022)

    Article  Google Scholar 

  15. P. Sinn, R. Engbert, Small saccades versus microsaccades: experimental distinction and model-based unification. Vision. Res. 118, 132–143 (2016)

    Article  Google Scholar 

  16. J.A. Del Punta, K.V. Rodriguez, G. Gasaneo, S. Bouzat, Models for saccadic motion and postsaccadic oscillations. Phys. Rev. E 99(3), 032422 (2019)

    Article  ADS  Google Scholar 

  17. R. Schweitzer, M. Rolfs, Intrasaccadic motion streaks jump-start gaze correction. Sci. Adv. 7(30), eabf2218 (2021)

    Article  ADS  Google Scholar 

  18. R. Schweitzer, M. Rolfs, Definition, modeling, and detection of saccades in the face of post-saccadic oscillations. In Eye Tracking, pp. 69–95. Springer (2022)

  19. D.S. Broomhead, R.A. Clement, M.R. Muldoon, J.P. Whittle, C. Scallan, R.V. Abadi, Modelling of congenital nystagmus waveforms produced by saccadic system abnormalities. Biol. Cybern. 82(5), 391–399 (2000)

    Article  Google Scholar 

  20. J. Van Gisbergen, D.A. Robinson, S. Gielen, A quantitative analysis of generation of saccadic eye movements by burst neurons. J. Neurophysiol. 45(3), 417–442 (1981)

    Article  Google Scholar 

  21. D. Laptev, Interaction of motion and perception in continuous attractor representations of position. PhD thesis, University of London (2008)

  22. H. R. Wilson, Spikes, decisions, and actions: the dynamical foundations of neurosciences. (1999)

  23. W. Dai, I. Selesnick, J.-R. Rizzo, J. Rucker, T. Hudson, A parametric model for saccadic eye movement. In 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), pp. 1–6. IEEE (2016)

  24. G. Gancarz, S. Grossberg, A neural model of the saccade generator in the reticular formation. Neural Netw. 11(7–8), 1159–1174 (1998)

    Article  Google Scholar 

  25. A. Gibaldi, S.P. Sabatini, The saccade main sequence revised: a fast and repeatable tool for oculomotor analysis. Behav. Res. Methods 53(1), 167–187 (2021)

    Article  Google Scholar 

  26. R.A. Clement, O. Akman, Slow-fast control of eye movements: an instance of Zeeman’s model for an action. Biol. Cybern. 114(4), 519–532 (2020)

    Article  MATH  Google Scholar 

  27. C. Wilimzig, S. Schneider, G. Schöner, The time course of saccadic decision making: dynamic field theory. Neural Netw. 19(8), 1059–1074 (2006)

    Article  MATH  Google Scholar 

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Mousavinejad, F.S., Fatehi Nia, M. Saccadic model and stability of equilibrium point with different sigmoidal functions. Eur. Phys. J. Plus 138, 160 (2023). https://doi.org/10.1140/epjp/s13360-023-03780-1

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