Projekteja vuodessa
Abstrakti
It is well-established how visual stimuli and self-motion in laboratory conditions reliably elicit retinal image stabilizing compensatory eye movements (CEM). Their organization and roles in natural-task gaze strategies is much less understood: are CEM applied in active sampling of visual information in human locomotion in the wild? If so, how? And what are the implications for guidance? Here, we directly compare gaze behavior in the real world (driving a car) and a fixed base simulation steering
task. A strong and quantifiable correspondence between self-rotation and CEM counter-rotation is found across a range of speeds. This gaze behavior is “optokinetic”, i.e. optic flow is a sufficient stimulus to spontaneously elicit it in naïve subjects and vestibular stimulation or stereopsis are not critical. Theoretically, the observed nystagmus behavior is consistent with tracking waypoints on the future
path, and predicted by waypoint models of locomotor control - but inconsistent with travel point models, such as the popular tangent point model.
task. A strong and quantifiable correspondence between self-rotation and CEM counter-rotation is found across a range of speeds. This gaze behavior is “optokinetic”, i.e. optic flow is a sufficient stimulus to spontaneously elicit it in naïve subjects and vestibular stimulation or stereopsis are not critical. Theoretically, the observed nystagmus behavior is consistent with tracking waypoints on the future
path, and predicted by waypoint models of locomotor control - but inconsistent with travel point models, such as the popular tangent point model.
Alkuperäiskieli | englanti |
---|---|
Artikkeli | 4175 |
Lehti | Scientific Reports |
Vuosikerta | 10 |
Numero | 1 |
Sivumäärä | 14 |
ISSN | 2045-2322 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 6 maalisk. 2020 |
OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu |
Tieteenalat
- 6162 Kognitiotiede
Projektit
- 1 Päättynyt
-
UPP-PERFORMANCE: Monimutkaisten dynaamisten tehtäväsuoritusten mallintaminen yhtenäisten ennustemallisimulaatioiden avulla
Lappi, O. (Principal Investigator), Pekkanen, J. (Osallistuja), Tuhkanen, S. (Osallistuja), Rinkkala, P. J. (Osallistuja), Frantsi, R. M. (Osallistuja), Palomäki, J. P. (Osallistuja) & Siltala, A. E. (osallistuja)
01/09/2019 → 31/08/2023
Projekti: Tutkimusprojekti
Laitteet
-
TRUlab instrumented vehicles
Lappi, O. (Johtaja)
Digitaalisten ihmistieteiden osastoLaitteistot/tilat: Laitteet