We report the detection of a statistically significant, non-random correlation between the morphology and temporal evolution of solar surface features—specifically sunspot groups and plasma filaments—and the orbital positions of planets and major comets within the Solar System. Analysis of high-resolution helioseismic and magnetogram data over a 74-year period (1976—2050), augmented by data from the textit{Helios Sentinel} and textit{Corona Net} satellite constellations, reveals that the initiation, growth, decay, and motion of sunspot groups are not solely governed by internal magnetohydrodynamic (MHD) processes. Instead, they exhibit a quantifiable, predictive relationship with external gravitational and electromagnetic perturbations from orbiting bodies. The precision of this correlation exceeds chance by a factor of $10^9$. Crucially, the measured response latencies are consistent with a signal propagation velocity that exceeds known MHD wave speeds by several orders of magnitude, approaching a significant fraction of $c$. We propose that the solar magnetic field acts as a distributed sensory and motor system, with sunspots functioning as temporary ``fixation points'' or ``eyes'' and plasma filaments as a conductive neural network. This system appears to respond to external stimuli in a manner consistent with a complex, adaptive regulatory network. We designate this phenomenon the Heliobiological Response Mechanism (HRM). 太阳不是一颗普通的恒星。