2020
DOI: 10.1007/s00221-020-05839-2
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The role of perception and action on the use of allocentric information in a large-scale virtual environment

Abstract: In everyday life, our brain constantly builds spatial representations of the objects surrounding us. Many studies have investigated the nature of these spatial representations. It is well established that we use allocentric information in real-time and memory-guided movements. Most studies relied on small-scale and static experiments, leaving it unclear whether similar paradigms yield the same results on a larger scale using dynamic objects. We created a virtual reality task that required participants to encod… Show more

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Cited by 13 publications
(9 citation statements)
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References 83 publications
(100 reference statements)
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“…In both the FEF and SEF, there was good agreement between the degree of landmark influence on the neural signals (measured either as a T-T' shift or the final T-T'/T-G slope) and the actual gaze behavior, suggesting that these structures participate in the optimal integration described in previous studies, where 'optimal' is defined as the best estimate of target direction based on statistical weighing of signal uncertainty (Byrne and Crawford, 2010;Karimpur et al, 2020;Körding and Wolpert, 2004). This is consistent with the general notion that the brain employs Bayesian methods of statistical learning, using probabilistic strategy from the task/target distribution and feedback uncertainty, to optimize performance (Aagten-Murphy and Bays, 2019; Byrne and Crawford, 2010;Karimpur et al, 2020;Körding and Wolpert, 2004;Mutluturk and Boduroglu, 2014).…”
Section: Integration Of Landmark-centered Codes With Egocentric Codessupporting
confidence: 61%
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“…In both the FEF and SEF, there was good agreement between the degree of landmark influence on the neural signals (measured either as a T-T' shift or the final T-T'/T-G slope) and the actual gaze behavior, suggesting that these structures participate in the optimal integration described in previous studies, where 'optimal' is defined as the best estimate of target direction based on statistical weighing of signal uncertainty (Byrne and Crawford, 2010;Karimpur et al, 2020;Körding and Wolpert, 2004). This is consistent with the general notion that the brain employs Bayesian methods of statistical learning, using probabilistic strategy from the task/target distribution and feedback uncertainty, to optimize performance (Aagten-Murphy and Bays, 2019; Byrne and Crawford, 2010;Karimpur et al, 2020;Körding and Wolpert, 2004;Mutluturk and Boduroglu, 2014).…”
Section: Integration Of Landmark-centered Codes With Egocentric Codessupporting
confidence: 61%
“…Previous studies have suggested that egocentric and allocentric visual cues are optimally integrated for goal directed action (Byrne and Crawford, 2010;Karimpur et al, 2020). Here, we emulated this behavior in the gaze system, and found that the SEF (like the FEF) is involved in an eye-centered transformation of target signals into gaze signals while incorporating landmark-centered information (Bharmauria et al, 2020).…”
Section: General Implications and Conclusionmentioning
confidence: 63%
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“…Visual landmarks influence spatial cognition [1][2][3], navigation [4,5] and goal-directed behavior [6][7][8], but their influence on visual coding in sensorimotor systems is poorly understood [6,[9][10][11]. We hypothesized that visual responses in frontal cortex control gaze areas encode potential targets in an intermediate gaze-centered / landmark-centered reference frame that might depend on specific target-landmark configurations rather than a global mechanism.…”
Section: Discussionmentioning
confidence: 99%
“…Various high-level theories have been postulated for the integration of landmarks with the egocentric codes for action 2,5,[9][10][11][12] . It has been speculated that the visual system codes this influence as target-landmark configurations 2,13 , but the neural mechanisms for this are unknown.…”
mentioning
confidence: 99%