Aug 2026· Multisensory Research· pp.
1-8
· 0 citations· 29 references
Medicine
Abstract
In this interview-based viewpoint article, Tobias Heed and Matthew Longo discuss research investigating the role of multisensory signals in shaping perception of one's own body. Drawing on both classic and recent studies, they suggest that a central insight is that body perception and the sense of self are constructed based on the integration of real-time signals from several sensory modalities. Classic findings such as the rubber hand and Pinocchio illusions have demonstrated the flexibility of body representations, while Bayesian frameworks have provided principled accounts of how signals from different modalities are integrated. Methodological developments in psychophysics, computational modeling, and neuroimaging have enabled increasingly precise investigations of the neurocognitive mechanisms underlying embodied experience. Despite progress, many controversies remain, notably regarding the measurement and interpretation of body illusions, the influence of suggestibility and demand characteristics, and the roles of perceptual and decisional processes. The authors emphasize the importance of methodological development, combining quantitative and qualitative approaches, and improving data sharing and curation practices. They anticipate that progress will be driven by more naturalistic experimental paradigms, advances in computational methods, and efforts to bridge brain, body, and behavior across levels of analysis. They recommend that early-career researchers develop strong quantitative skills, engage broadly with interdisciplinary perspectives, and pursue fundamental questions about the nature of the body and self. The authors conclude that multisensory research on body perception provides a powerful framework for understanding the constructed nature of bodily experience and remains a vibrant and exciting field in which to work.
This article presents a compiled interview with three prominent figures in multisensory research: Ulrik Ravnsborg Beierholm, Hans Colonius, and Ladan Shams. Through structured dialogue, the authors reflect on the evolution of computational modeling, from early mathematical psychology to the current dominance of Bayesia...
Ulrik R Beierholm, H. Colonius, Ladan Shams· Multisensory Research· 0 citations
In this viewpoint article, Monica Gori and Micah Murray share their perspectives on past, present, and future developments in multisensory technologies and their impact on society, as well as career perspectives for trainees. Using seminal works on the neurobiological bases of multisensory processes and their developme...
Monica Gori, Micah M. Murray· Multisensory Research· 0 citations
In this viewpoint article, Andy Bremner, Patrick Bruns and Fiona Newell provide an integrated perspective on how multisensory processing develops and changes across the lifespan. From their complementary backgrounds in infant development, crossmodal learning, and visual cognition, they reflect on the scientific influen...
Andrew J. Bremner, P. Bruns, F. N. Newell· Multisensory Research· 0 citations
In this viewpoint article, Zhuanghua Shi and Virginie van Wassenhove discuss the past, present, and future of multisensory time perception. Drawing on decades of research, they argue that the field has undergone an important shift from the centralized internal clock toward timing as an active inference process. This fr...
Zhuang-Hua Shi, V. van Wassenhove· Multisensory Research· 0 citations
In this viewpoint, Christoph Kayser, Uta Noppeney, and Tim Rohe highlight the central role of normative Bayesian frameworks, in particular Bayesian causal inference, for explaining how the brain decides whether sensory signals should be integrated or segregated and how they are weighted by their reliabilities. In paral...
Christoph Kayser, U. Noppeney, T. Rohe· Multisensory Research· 0 citations
The conversation highlights the shift from descriptive accounts of multisensory phenomena toward normative models, including maximum likelihood estimation, causal inference, and correlation detection, as well as the need to link these computations to neural circuits and clinical heterogeneity.
Sophie Molholm, Jean-Paul Noel, Mark T. Wallace· Multisensory Research· 0 citations
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