Experimental Brain Research

, Volume 162, Issue 3, pp 278–286 | Cite as

Properties of saccades generated as a choice response

  • Kyoung-Min Lee
  • Edward L. Keller
  • Stephen J. Heinen
Research Article


Since Hick’s original description, many subsequent studies have confirmed the logarithmic relationship that exists between response time and the number of alternatives (NA) for a choice response. In the present study a novel paradigm was used to quantify saccade response time as a function of NA. Normal subjects were required to make a saccade to the remembered location of a visual target whose color was specified by a centrally located cue. The paradigm thus required a stimulus-response transformation similar to that used by Hick. The results show that, when such a transformation was required, a logarithmic relationship was found for saccadic response time. The use of a color-to-location paradigm to study saccade choice response time produced an unexpected additional result that may provide insight into the neural organization of the saccadic system. When the number of alternative choice responses was large (4 or 8), subjects frequently made a two-saccade response instead of a single saccade to the correct location. The first movement in such a sequence was in the correct direction, but was hypometric. A second movement then followed which moved the eyes onto the correct location. These results suggest dynamic dissociations in the mechanisms underlying the triggering of saccades and the specification of their metrics.


Choice decision Hick’s law Number of alternatives Response time Saccade 


  1. Anderson RW, Keller EL, Gandhi NJ, Das S (1998) Two-dimensional saccade-related population activity in superior colliculus in monkey. J Neurophysiol 80:798–817PubMedGoogle Scholar
  2. Basso MA, Wurtz RH (1998) Modulation of neuronal activity in superior colliculus by changes in target probability. J Neurosci 18:7519–7534Google Scholar
  3. Becker W, Juergens R (1979) An analysis of the saccadic system by means of double step stimuli. Vision Res 19:967–983CrossRefPubMedGoogle Scholar
  4. Carpenter RH, Williams ML (1995) Neural computation of log likelihood in control of saccadic eye movements. Nature 377:59–62CrossRefPubMedGoogle Scholar
  5. Christie LS, Luce RD (1956) Decision structure and time relations in simple choice behavior. Bull Math Biophys 18:89–112Google Scholar
  6. Crane HD, Steele CM (1985) Generation-V dual-Purkinje-image eyetracker. Applied Optics 24:527–537Google Scholar
  7. Deubel H, Bridgeman B (1995) Fourth Purkinje image signals reveal eye-lens deviations and retinal image distortions during saccades. Vision Res 35:529–538CrossRefPubMedGoogle Scholar
  8. Findlay JM, Walker R (1999) A model of saccade generation based on parallel processing and competitive inhibition. Behav Brain Sci 22:661–674CrossRefPubMedGoogle Scholar
  9. Fitts PM, Posner MI (1967) Human performance. Brooke/Cole Publishing Co., Belmont, CAGoogle Scholar
  10. Fuchs AF, Robinson FR, Straube A (1993) Role of the caudal fastigial nucleus in saccade generation. I Neuronal discharge patterns. J Neurophysiol 70:1723–1740Google Scholar
  11. Hallett PE, Adams B (1980) The predictability of saccadic latency in a novel voluntary oculomotor task. Vision Res 20:329–339CrossRefPubMedGoogle Scholar
  12. Heywood S, Churcher J (1980) Structure of the visual array and saccadic latency: implications for oculomotor control. Q J Exp Psychol 32:335–341PubMedGoogle Scholar
  13. Hick WE (1952) On the rate of gain of information. Q J Exp Psychol 4:11–26Google Scholar
  14. Hyman R (1953) Stimulus information as a determinant of reaction time. J Exp Psychol 45:188–196PubMedGoogle Scholar
  15. Keller EL, Edelman JA (1994) Use of interrupted saccade paradigm to study spatial and temporal dynamics of saccadic burst cells in superior colliculus in monkey. J Neurophysiol 72:2754–2770PubMedGoogle Scholar
  16. Keller EL, Gandhi NJ, Shieh JM (1996) Endpoint accuracy in saccades interrupted by stimulation in the omnipause region in monkey. Vis Neurosci 13:1059–1067PubMedGoogle Scholar
  17. Kimmig H, Haussmann K, Mergner T, Lucking CH (2002) What is pathological with gaze shift fragmentation in Parkinson’s disease? J Neurol 249:683–692CrossRefPubMedGoogle Scholar
  18. Kveraga K, Boucher L, Hughes HC (2002) Saccades operate in violation of Hick’s law. Exp Brain Res 146:307–314CrossRefPubMedGoogle Scholar
  19. Laming DRJ (1966) A new interpretation of the relation between choice-reaction time and the number of equiprobable. Br J Math Stat Psychol 19:139–149PubMedGoogle Scholar
  20. Laming DRJ (1968) Information theory of choice-reaction times. Academic Press, New YorkGoogle Scholar
  21. Leonard JA (1959) Tactual choice reactions: I. Q J Exp Psychol 11:76–83Google Scholar
  22. Luce RD (1986) Response times: their role in inferring elementary mental organization. Oxford University Press, New YorkGoogle Scholar
  23. Martinez-Conde S, Macknik SL, Hubel DH (2004) The role of fixational eye movements in visual perception. Nat Rev Neurosci 5:229–240Google Scholar
  24. May PJ, Hartwich-Young R, Nelson J, Sparks DL, Porter JD (1990) Cerebellotectal pathways in the macaque: implications for collicular generation of saccades. Neuroscience 36:305–324CrossRefPubMedGoogle Scholar
  25. McPeek RM, Skavenski AA, Nakayama K (2000) Concurrent processing of saccades in visual search. Vision Res 40:2499–2516CrossRefPubMedGoogle Scholar
  26. Morin RE, Forrin B (1962) Mixing of two types of S-R associations in a choice reaction time task. J Exp Psychol 64:137–141PubMedGoogle Scholar
  27. Morin RE, Konick A, Troxell N, McPherson S (1965) Information and reaction time for naming responses. J Exp Psychol 70:314Google Scholar
  28. Munoz DP, Wurtz RH (1995) Saccade-related activity in monkey superior colliculus. I. Characteristics of burst and buildup cells. J Neurophysiol 73:2313–2333Google Scholar
  29. Munoz DP, Waitzman DM, Wurtz RH (1996) Activity of neurons in monkey superior colliculus during interrupted saccades. J Neurophysiol 75:2562–2580PubMedGoogle Scholar
  30. Noda H, Sugita S, Ikeda Y (1990) Afferent and efferent connections of the oculomotor region of the fastigial nucleus in the macaque monkey. J Comp Neurol 302:330–348PubMedGoogle Scholar
  31. Oldfield RC, Wingfield A (1965) Response latencies in naming objects. Q J Exp Psychol 17:273–281PubMedGoogle Scholar
  32. Pachella RG (1974) The interpretation of reaction time in information processing research. In: Kantowitz BH (ed) Human information processing: tutorials in performance and cognition. Lawrence Erlbaum Associates, Hillsdale, NJ, pp 41–82Google Scholar
  33. Quaia C, Lefevre P, Optican LM (1999) Model of the control of saccades by superior colliculus and cerebellum. J Neurophysiol 82:999–1018PubMedGoogle Scholar
  34. Reddi BA, Carpenter RH (2000) The influence of urgency on decision time. Nat Neurosci 3:827–830CrossRefPubMedGoogle Scholar
  35. Reddi BA, Asrress KN, Carpenter RH (2003) Accuracy, information, and response time in a saccadic decision task. J Neurophysiol 90:3538–3546PubMedGoogle Scholar
  36. Rucker JC, Shapiro BE, Han YH, Kumar AN, Garbutt S, Keller EL, Leigh RJ (2004) Neuro-ophthalmology of late-onset Tay-Sachs disease (LOTS). Neurology, in pressGoogle Scholar
  37. Schall JD (2001) Neural basis of deciding, choosing, and acting. Nature Rev Neurosci 2:33–42CrossRefGoogle Scholar
  38. Scudder CA, Kaneko CS, Fuchs AF (2002) The brainstem burst generator for saccadic eye movements: a modern synthesis. Exp Brain Res 142:439–462CrossRefPubMedGoogle Scholar
  39. Stanford TR, Sparks DL (1994) Systematic errors for saccades to remembered targets: evidence for a dissociation between saccade metrics and activity in the superior colliculus. Vision Res 34:93–106CrossRefPubMedGoogle Scholar
  40. Teichner WH, Krebs MJ (1974) Laws of visual choice reaction time. Psychol Rev 81:75–98PubMedGoogle Scholar
  41. Usher M, Olami Z, McClelland JL (2002) Hick’s law in a stochastic race model with speed-accuracy tradeoff. J Math Psychol 46:704–715CrossRefGoogle Scholar
  42. Van Gisbergen JA, Robinson DA, Gielen S (1981) A quantitative analysis of generation of saccadic eye movements by burst neurons. J Neurophysiol 45:417–442PubMedGoogle Scholar
  43. Welford AT (1960) The measurement of sensory-motor performance: survey and reappraisal of twelve years’ progress. Ergonomics 3:189–230Google Scholar
  44. Welford AT (1968) Fundamentals of skill. Methuen, LondonGoogle Scholar
  45. Wyszecki G, Stiles WS (1982) Color science: concepts and methods, quantitative data and formulae. John Wiley & Sons, Inc, New YorkGoogle Scholar
  46. Yoshida K, Iwamoto Y, Chimoto S, Shimazu H (1999) Saccade-related inhibitory input to pontine omnipause neurons: An intracellular study in alert cats. J Neurophysiol 82:1198–1208PubMedGoogle Scholar

Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • Kyoung-Min Lee
    • 1
    • 2
  • Edward L. Keller
    • 1
  • Stephen J. Heinen
    • 1
  1. 1.The Smith-Kettlewell Eye Research InstituteSan FranciscoUSA
  2. 2.Department of NeurologySeoul National UniversitySeoulKorea

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