The SERNA Conceptual Standard for Neural Correlates of Visual Perception and Object Recognition: Definitions, Relationships, and Theoretical Integration (SCS-VPR)

**Background:** Visual perception, the process by which the brain interprets electromagnetic radiation into a coherent representation of the world, is the most well-studied yet highly complex sensory modality. However, the field is characterized by "terminological chaos," where terms like "bottom-up," "top-down," "ventral stream," and "dorsal stream" are often used with varying levels of physiological precision. **Problem:** This conceptual fragmentation prevents the development of standardized computational models for artificial vision and limits the clinical assessment of visual agnosias. Specifically, the role of "Predictive Coding" in sensory processing remains a subject of intense theoretical debate. **Objective:** To establish the SERNA Conceptual Standard (SCS-VPR), providing canonical definitions and a testable neuro-computational model for visual perception. **Approach:** A systematic review of over 450 peer-reviewed articles was conducted, synthesizing evidence from electrophysiology, fMRI, and psychophysics. **Contributions:** This standard defines 12 canonical terms, establishes the "Hierarchical Predictive Inference (HPI) Model," and proposes 10 falsifiable hypotheses for future research. **Conclusions:** SCS-VPR provides the theoretical infrastructure to transition vision research from descriptive feature-mapping to predictive modeling of object recognition and visual awareness.