Artificial Retina Sensory Processing with Diffusive Coupling

The patent replaces the mechanical pre-wiring approach with a computational solution. Instead of physically connecting each RGC to multiple cones through fixed wiring, the system uses a single connection per RGC to the nearest cone and achieves the desired DoG spatial response through computational processing of the cone signals. This substitution of physical connectivity with computational processing reduces hardware complexity while maintaining spatial filtering capability.

The patent changes the parameter of connectivity from many-to-many pre-wired connections to one-to-one dynamic connections. Each RGC is connected to only one cone (the nearest neighbor), and the spatial filtering is achieved by dynamically adjusting the weights and processing of signals based on spatial relationships, rather than through fixed physical wiring patterns.

The patent replaces the computationally intensive pre-wired processing with a simplified computational model. Instead of processing signals from multiple pre-connected cones through complex weighted sums, each RGC processes signals from a single nearest-neighbor cone, significantly reducing the computational load while maintaining the ability to achieve DoG spatial response through the simplified processing architecture.

The patent segments the complex spatial filtering task into simpler components by assigning each RGC to process only its nearest-neighbor cone signal. This segmentation of the processing task from a global many-to-many operation into localized one-to-one operations improves processing efficiency while the collective behavior of all RGCs still achieves the desired spatial filtering effect.

The patent introduces dynamics into the system by allowing each RGC to dynamically identify and connect to its nearest-neighbor cone based on current spatial conditions, rather than being fixed to predetermined connections. This dynamic adaptability allows the system to maintain accurate receptive fields while being flexible to changes in the visual scene and spatial relationships.

The patent uses a simplified copy of the natural retina's nearest-neighbor connectivity principle, rather than attempting to replicate the complex pre-wired many-to-many connections. By copying only the essential nearest-neighbor relationship and achieving the full DoG response through computational processing, the system gains flexibility while maintaining the accuracy of natural receptive field organization.