Matthieu Cardinaux
École Nationale Supérieure de l'Électronique et de ses Applications
Papers
2
Total Citations
18
H-Index
2
About
Matthieu Cardinaux investigates the neural and computational mechanisms underlying spatial perception, with a particular focus on how the brain integrates information from multiple sensory modalities. His work centers on the hypothesis that gain-field modulation—a neural mechanism found in multimodal brain regions—enables the coordinate transformations necessary for locating objects, people, and one’s own limbs using vision, hearing, touch, and proprioception. In his most cited paper (2012, 15 citations), Cardinaux proposes a model for how multimodal networks employ this mechanism to construct a unified spatial representation. He further explores the development of spatial cognition, attempting to reconcile competing theories from developmental psychology—such as Piaget’s stage-based account—with statistical learning and sensory alignment mechanisms (2012, 3 citations). By bridging computational modeling with empirical findings, Cardinaux contributes to understanding how the brain builds a coherent sense of space from disparate sensory inputs. His research holds implications for robotics, neurorehabilitation, and theories of embodied cognition, offering insight into how perception emerges from the dynamic interplay of multiple senses.
Research Focus
Key Achievements
Top Papers
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