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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Bayesian Gravity Perception Simulator: Interactive Research Tool for Multisensory Integration

Authors: Meddouri, Alycia;

Bayesian Gravity Perception Simulator: Interactive Research Tool for Multisensory Integration

Abstract

Interactive implementation of the theoretical framework presented in: Meddouri, A. (2025). Can We Feel Weightless Without Leaving Earth? A New Framework for Understanding and Controlling Weight Perception. https://doi.org/10.5281/zenodo.17806843 This simulator demonstrates Bayesian sensory integration principles for gravity perception, allowing users to manipulate vestibular, proprioceptive, and visual sensory weights in real-time. الترجمة: تطبيق تفاعلي للإطار النظري المقدم في المقال أعلاه. يوضح المحاكي مبادئ التكامل الحسي البايزي لإدراك الجاذبية، ويسمح للمستخدمين بالتحكم في أوزان الأنظمة الحسية الثلاثة. Live demo: https://bayesian-gravity-meddouri.vercel.app/

Keywords

Cognitive science, Vestibular system, Multisensory perception, Research tool, Visual perception, Bayesian inference, Gravity perception, Interactive simulation, Proprioception, Sensory integration, Neuroscience

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green