BIOLOGICAL COMPUTATION & ADAPTIVE Sensory SYSTEMS
The body is a programmable perceptual system. Perception is not fixed, it is engineered.
The human eye is conventionally treated as a passive sensor. By tuning illumination, geometry, and feedback, the eye itself becomes an addressable projection and reconstruction surface — collapsing the distinction between camera and display.
Mismatch as
Adaptive Engine
Perceptual stability emerges from resolving mismatch between prediction and input. By modeling and deliberately perturbing this reconciliation process, adaptation becomes measurable and tunable rather than incidental.
Feedback as
Constructed
Infrastructure
Through synthetic nervous architectures, sensory coupling can be reconfigured and extended. Signal routing, delay, and plasticity become engineered variables within adaptive perceptual systems.
This work establishes the technical groundwork for programmable perceptual environments — where interaction occurs within biological signal formation rather than on external displays.
Programmable Visual Substrate
Developed non-invasive optical systems that access retinal and vascular structure through alternative illumination pathways, eliminating the need for dilation and conventional pupil-based capture.
Enabled real-time observation of vascular flow and microstructural dynamics under natural viewing conditions — revealing the visual system as an addressable computational medium rather than a fixed biological endpoint.
Individual stability thresholds
Developed distributed sensory architectures capable of mapping repeatable instability thresholds within individuals under dynamic stimulus load.
Identified perceptual load boundaries as measurable, programmable signatures rather than variable subjective states.
Stability becomes quantifiable — and therefore embeddable — within environmental systems.
Perceptual Load Signatures
Synthetic Spatial Embodiment
Engineered cortical remapping
Engineered spatially organized sensor arrays that project structured environmental information into absent physical geometry.
Mapped these signals onto non-isomorphic cortical regions, training stable localization and coherent locomotion under full-body load.
Demonstrates that embodied spatial perception can be constructed — not merely recovered — through programmable sensory topology.
The objective is not improved imaging.
It is access to perception before representation.