Quantum Mechanical Basis of Vision

TL;DR

This paper introduces a quantum mechanical model of early vision, specifically the interaction of light with retinal photoreceptors, using a Jaynes-Cummings framework to better understand neural activity in vision.

Contribution

It presents a novel quantum approach to modeling the initial steps of vision, incorporating quantum effects into neural activity modeling at the photoreceptor level.

Findings

Quantum model of light-rhodopsin interaction based on Jaynes-Cummings model

Description of amplification mechanisms for faint and bright light detection

Potential for improved understanding of neural processes in vision

Abstract

The two striking components of retina, i.e., the light sensitive neural layer in the eye, by which it responds to light are (the three types of) color sensitive Cones and color insensitive Rods (which outnumber the cones 20:1). The interaction between electromagnetic radiation and these photoreceptors (causing transitions between cis- and trans- states of rhodopsin molecules in the latter) offers a prime example of physical processes at the nano-bio interface. After a brief review of the basic facts about vision, we propose a quantum mechanical model (paralleling the Jaynes-Cummings model (JCM) of interaction of light with matter) of early vision describing the interaction of light with the two states of rhodopsin mentioned above. Here we model the early essential steps in vision incorporating, separately, the two well-known features of retinal transduction (converting light to neural signals): small numbers of cones respond to bright light (large number of photons) and large numbers of rods respond to faint light (small number of photons) with an amplification scheme. An outline of the method of solution of these respective models based on quantum density matrix is also indicated. This includes a brief overview of the theory, based on JCM, of signal amplification required for the perception of faint light. We envision this methodology, which brings a novel quantum approach to modeling neural activity, to be a useful paradigm in developing a better understanding of key visual processes than is possible with currently available models that completely ignore quantum effects at the relevant neural level.