Short term adaptation exists in the disparity vergence system exhibited by a decrease in the response dynamics

Tara Alvarez, John Semmlow

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

In order to survive, humans have learned to adapt to their environment. Evidence of adaptation is present in many physiological systems. This study shows the disparity vergence system also adapts to environmental conditions. Two types of step stimuli, a small stimulus of one degree and a large stimulus of four or eight degree, were presented to subjects using a haploscope configuration. There were three phases to the experiment, beginning with a baseline phase, then adaptation, and recovery. The baseline paradigm presented only large steps. The adaptation phase presented small and large steps in a 5:1 ratio, and the recovery phase presented only large steps to ensure fatigue was not affecting the adaptation results. The goal of this study was to determine if the predominance of smaller stimuli has a dynamic affect on the larger step responses. Preliminary data show the dynamics as quantified by the main sequence of adapted responses decreases on average compared to the baseline data. Furthermore, the dynamics return to similar values as those measured during the baseline, showing fatigue was not present during the adaptation phase. This study demonstrates short term adaptation exists in the vergence system demonstrated by a decrease the dynamics.

Original languageEnglish (US)
Pages (from-to)260-261
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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