Retina Encoder Inversion for Retina Implant Simulation

To test tuning methods for the Retina Encoder RE of a Retina Implant RI as a visual prosthesis for blind subjects with retinal degenerations a suitable simulation of the patient s evaluative response to RE state al terations must be provided RE simulates real time retinal information processing and consists of several hundreds of spatio temporal receptive eld RF lters to generate electrical signals for ganglion cell GC stim ulation We propose a neural network to reconstruct the RE input from a number of consecutive RE output frames The network can be inter preted as a simulation of a part of the central visual system with GC signals as input and perception visualization as output We present rst results using Evolution Strategies for neural network weight optimization