Fulvio Domini Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

John Brown University

faculty

24 h-index 185 pubs 1,536 cited

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Biography and Research Information

OverviewAI-generated summary

Fulvio Domini is a faculty member at John Brown University whose research encompasses visual perception, motor control, and sensory interactions. His work explores how humans integrate diverse sensory inputs to construct a coherent understanding of the surrounding world. Recent investigations delve into 3D vision, examining the integration of depth cues like texture and disparity. Domini's research challenges probabilistic inference models, proposing deterministic theories to explain 3D visual processing. His work also extends to motor control, exploring how individuals integrate Newtonian predictions with sensory information during motion perception. He has active projects in ophthalmology, visual impairment, color science, and related applications.

Metrics

  • h-index: 24
  • Publications: 185
  • Citations: 1,536

Selected Publications

  • Relational dynamics inform predictive motor planning and perception (2025) DOI
  • Exocentric information influences egocentric distance estimation in perception and action (2025) DOI
  • 3D slant discrimination in motion parallax depends on retinal gradients and not distal slant (2025) DOI
  • The Online Processing of Dynamics (2024) DOI
  • Interplay of exocentric and egocentric information in distance perception for visuomotor tasks (2024) DOI
  • Discrimination thresholds reflect task-related, cognitive processes rather than cue uncertainty in depth perception (2024) DOI
  • Invited Session V: Binocular vision and interactions: The case against probabilistic inference: A deterministic theory of 3D visualprocessing (2023) DOI
  • Warping a disparity field: cooperation between shading and disparity for sparsely defined surfaces (2023) DOI
  • Sensorimotor adaptation reveals systematic biases of 3D estimates for reach-to-grasp actions. (2023) DOI
  • Just-Noticeable Differences do not reflect depth cue uncertainty: Evidence from depth discrimination between motion and disparity stimuli (2023) DOI
  • Smooth pursuit eye movements incorporate the knowledge of Newtonian mechanics and other cues for motion prediction (2023) DOI
  • On Human-like Biases in Convolutional Neural Networks for the Perception of Slant from Texture (2023) DOI
  • The History and Science of Virtual Reality: An Experiment at Brown University (2022) DOI
  • Time & Dynamics: Temporally Updated Relative Mass Perception (2022) DOI
  • Sensorimotor learning of depth cue combination for reach-to-grasp actions (2022) DOI

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