Approaches for accelerating synchronization between photosensitive neurons in a coupled memory delay system

Abstract

Abstract After being stimulated by external light, photoreceptor cells in the retina produce action potentials, which are then transmitted to the visual center to create vision. Reduced vision and even blindness can result from changes in photoreceptor cells. The most cutting-edge treatment available right now is to implant electronic chips to replace the damaged photoreceptor cells. Therefore, it is crucial to understand the biophysical processes that the photoreceptor cell goes through. However, the pertinent biophysical mechanisms are still not entirely understood. This study adds phototube to the FitzHugh Nagumo (FHN) model, builds a light-dependent neuron model by using phototube's photosensitive properties, and proposes a coupled photosensitive neuron model. The effects of synaptic connection between neurons, information transmission delay, external stimulation, electromagnetic effects generated by the memristors, and noise stimulation on the synchronization of the neuronal system are all fully taken into account by the model. The outcomes of the experiment suggest that these variables regulate the speed and stability of synchronization. In an effort to develop a theoretical foundation for the treatment of visual problems, the results of the numerical simulation serve as a certain point of reference for research into the biophysical mechanisms of photosensitive neurons.