Advertisement

Floating-Gate Circuits for Adaptation of Saccadic Eye Movement Accuracy

  • Timothy K. Horiuchi
  • Christof Koch
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 447)

Abstract

The most common eye movements in primates are the quick reorienting movements known as saccades. Our eyes often reach speeds up to 750 degs/s during a saccade which severely impairs our visual acuity. It is therefore important to minimize the time during which the eyes are moving. While typical human saccades have a duration of 40ms to 150 ms, changes in the optics, the oculomotor plant, or the underlying neural circuitry can cause deficits which delay optimal viewing conditions.

Keywords

Superior Colliculus Analog VLSI Trigger Circuit Saccade Vector BiCMOS Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    T. Delbrück. Bump circuits for computing similarity and dissimilarity of analog voltages. In Proc. of Intl. Joint Conf. on Neural Networks, volume 1, pages 475–479, 1991.Google Scholar
  2. [2]
    T. Delbrück. Investigations of Analog VLSI Visual Transduction and Motion Processing. PhD thesis, California Institute of Technology, 1993.Google Scholar
  3. [3]
    H. Deubel. Separate adaptive mechanisms for the control of reactive and volitional saccadic eye movements. Vision Res., 35(23/24):3529–3540, 1995.CrossRefGoogle Scholar
  4. [4]
    S. P. DeWeerth. Analog VLSI circuits for stimulus localization and centroid computation. Intl. J. Comp. Vis., 8(22):191–202, 1992.CrossRefGoogle Scholar
  5. [5]
    C. Diorio, P. Hasler, B. A. Minch, and C. Mead. A high-resolution nonvolatile analog memory cell. In Proc. IEEE Intl. Symp. on Circuits and Systems, volume 3, pages 2233–2236, 1995.Google Scholar
  6. [6]
    M. A. Frens and A. J. van Opstal. Transfer of short-term adaptation in human saccadic eye movements. Exp. Brain Res., 100:293–306, 1994.CrossRefGoogle Scholar
  7. [7]
    P. Hasler, C. Diorio, B. A. Minch, and C. Mead. Single transistor learning synapses with long term storage. In IEEE Intl. Symp. on Circuits and Systems, volume 3, pages 1660–1663, 1995.Google Scholar
  8. [8]
    T. K. Horiuchi. An auditory localization and coordinate transform chip. In Advances in Neural Information Processing Systems 7, pages 787–794. MIT Press, 1995.Google Scholar
  9. [9]
    T. K. Horiuchi, B. Bishofberger, and C. Koch. An analog VLSI saccadic eye movement system. In Cowan, Tesauro, and Alspector, editors, Advances in Neural Information Processing Systems 6, pages 582–589, San Francisco, 1994. Morgan Kaufman.Google Scholar
  10. [10]
    T. K. Horiuchi and C. Koch. Analog VLSI circuits for visual motion-based adaptation of post-saccadic drift. In 5th Intl. Conf. on Microelectronics for Neural Networks and Fuzzy Systems, pages 60–66, Los Alamitos, CA, 1996. IEEE Computer Society Press.Google Scholar
  11. [11]
    L. M. Optican and D. A. Robinson. Cerebellar-dependent adaptive control of the primate saccadic system. J. Neurophysiol., 44:1058–1076, 1980.Google Scholar
  12. [12]
    R. Rao and D. Ballard. Learning saccadic eye movements using multiscale spatial filters. In Advances in Neural Information Processing Systems 7, pages 893–900. MIT Press, 1995.Google Scholar
  13. [13]
    H. Ritter, T. Martinetz, and K. Schulten. Neural Computation and Self Organizing Maps: An Introduction. Addison-Wesley, Reading, MA, 1992.MATHGoogle Scholar

Copyright information

© Kluwer Academic Publishers 1998

Authors and Affiliations

  • Timothy K. Horiuchi
    • 1
  • Christof Koch
    • 1
  1. 1.Computation and Neural Systems ProgramCalifornia Institute of TechnologyPasadena

Personalised recommendations