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Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

Visual System

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

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Related Experiment Video

Updated: Jun 2, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

Binocular integration of visual information: a model study on naturalistic optic flow processing.

Patrick Hennig¹, Roland Kern, Martin Egelhaaf

¹Department of Neurobiology and Center of Excellence 'Cognitive Interaction Technology', Bielefeld University Bielefeld, Germany.

Frontiers in Neural Circuits

|April 27, 2011

Summary

This study models the blowfly's visual system, specifically the vCH-cell, to understand how motion information from both eyes is processed for navigation. The model successfully replicates neuronal activity, revealing insights into binocular visual input integration.

Keywords:

electrophysiology modeling motion vision network interactions

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Area of Science:

Neuroscience
Computational Neuroscience
Insect Vision

Background:

The vCH-cell, a motion-sensitive neuron in the blowfly (Calliphora) visual system, processes optic flow crucial for orientation and navigation.
This wide-field neuron integrates input from both ipsilateral and contralateral visual fields, but its functional relevance in processing naturalistic image sequences remains unclear.

Purpose of the Study:

To investigate the contribution of different input components to the vCH-cell's response.
To model the vCH-circuit and understand the integration of binocular visual input for optic flow processing.

Main Methods:

Utilized electrophysiologically determined responses of the vCH-cell and its input elements.
Developed and tuned a computational model of the vCH-circuit.
Stimulated selected regions of the ipsilateral and contralateral visual fields with behaviorally generated optic flow.

Main Results:

The computational model accurately accounted for the neuronal activities observed in the blowfly's visual system.
Demonstrated the ability to distinguish the impact of different input components on the vCH-cell's response.
Provided insights into the dendritic integration of binocular visual input.

Conclusions:

A computational model can effectively simulate the vCH-circuit's function in optic flow processing.
The study elucidates how binocular visual information is integrated by the vCH-cell for navigation-related tasks.