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Haocheng Zhu

Biographic Data

ID7523404
NAMEHaocheng Zhu
GIVEN NAMESHaocheng
FAMILY NAMEZhu
SIGNATUREZHU H
AFFILIATIONSSoochow University
ORCID0009-0009-5862-4362
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Crossmodal interaction of flashes and beeps across time and number follows Bayesian causal inference

    Open Access•Haocheng Zhu, Yiyang Zhang et al.•ARTICLE•Psychonomic Bulletin & Review•2026

    Multisensory perception requires the brain to dynamically infer causal relationships between sensory inputs across various dimensions, such as temporal and spatial attributes. Traditionally, Bayesian Causal Inference (BCI) models have generally provided a robust framework for understanding sensory processing in unidimensional settings where stimuli across sensory modalities vary along one dimension such as spatial location, or numerosity (Samad e…

  • Developmentally enhanced visual reliability reduces susceptibility to the sound-induced flash illusion

    Open Access•Aijun Wang, Jiwen Zhang et al.•ARTICLE•Consciousness and Cognition•2025

  • Audiovisual illusion training improves multisensory temporal integration

    Open Access•Haocheng Zhu, Xiaoyu Tang et al.•ARTICLE•Consciousness and Cognition•2023

No prominent works on this page.

  • Audiovisual illusion training improves multisensory temporal integration

    Open Access•Haocheng Zhu, Xiaoyu Tang et al.•ARTICLE•Consciousness and Cognition•2023

  • Developmentally enhanced visual reliability reduces susceptibility to the sound-induced flash illusion

    Open Access•Aijun Wang, Jiwen Zhang et al.•ARTICLE•Consciousness and Cognition•2025

  • Crossmodal interaction of flashes and beeps across time and number follows Bayesian causal inference

    Open Access•Haocheng Zhu, Yiyang Zhang et al.•ARTICLE•Psychonomic Bulletin & Review•2026

    Multisensory perception requires the brain to dynamically infer causal relationships between sensory inputs across various dimensions, such as temporal and spatial attributes. Traditionally, Bayesian Causal Inference (BCI) models have generally provided a robust framework for understanding sensory processing in unidimensional settings where stimuli across sensory modalities vary along one dimension such as spatial location, or numerosity (Samad e…

Illusion (3 works) · Multisensory Integration (3 works) · Multisensory perception and integration (3 works) · Olfactory and Sensory Function Studies (3 works) · Perception (3 works) · Sensory system (3 works) · Artificial Intelligence (2 works) · Bayesian inference (2 works) · Bayesian probability (2 works) · Cognitive psychology (2 works)

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