September 2017
Volume 17, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2017
Effect of reinforcement on the size-latency phenomenon
Author Affiliations
  • Cécile Vullings
    Univ. Lille, CNRS, CHU Lille, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000 Lille, France
  • Mark Harwood
    Department of Biology, City College of New York, City University of New York, NY, USA
    Department of Psychology, University of East London, UK
  • Laurent Madelain
    Univ. Lille, CNRS, CHU Lille, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000 Lille, France
    Aix Marseille Université, CNRS, Institut de Neurosciences de la Timone, UMR 7289, Marseille, France
Journal of Vision August 2017, Vol.17, 908. doi:
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      Cécile Vullings, Mark Harwood, Laurent Madelain; Effect of reinforcement on the size-latency phenomenon. Journal of Vision 2017;17(10):908.

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      © ARVO (1962-2015); The Authors (2016-present)

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Saccadic latencies are known to change as a function of target eccentricity and size. Recently, it has been shown that latencies may be evaluated in terms of the amplitude of the step in proportion to the size of the target, and consistently change according to this step-size ratio (Madelain et al., 2005; Harwood et al., 2008; De Vries et al., 2016). This effect, called the size-latency phenomenon, might be seen as a function of a cost-benefit relationship: the difference in latencies might be explained by the 'cost' of making a saccade while the target mostly remains within the attentional field. Here, we probe this hypothesis by manipulating the cost-benefit relationship using a reinforcement procedure. Three subjects (including two authors) tracked a visual ring target stepping horizontally with an amplitude ranging from 1.2 to 10.5 deg. The size (diameter) of the ring varied as a function of the target step such that the step-size ratio was equal to either 0.3 or 1.5. Trials with saccadic latencies outside a [80;500] ms range or saccadic gain outside [0.5;2] were discarded. We used a dynamic reinforcement criterion based on the median computed over a 50-trial moving window in 2 blocked conditions. In the 0.3 ratio condition, any latency shorter than the criterion was reinforced. In the 1.5 ratio condition, any latency longer than the criterion was reinforced. During baseline, we observed the size-latency phenomenon with large differences in latencies depending on the ratio in force (e.g. 164 ms and 285 ms, respectively for 1.5 and 0.3). After training (4800 reinforcement trials), distributions shifted toward the shorter or longer value (e.g. 418 ms and 184 ms, respectively for 1.5 and 0.3). Our results indicate that reinforcement contingencies can considerably affect saccadic latency distributions, and support the idea of a cost-benefit evaluation for saccade triggering.

Meeting abstract presented at VSS 2017


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