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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.

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...

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

Motor and Sensory Areas of the Cortex

Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....

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Related Experiment Video

Updated: Jul 9, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Compact deep neural network models of visual cortex.

Benjamin R Cowley^1,2, Patricia L Stan^3,4,5, Jonathan W Pillow²

¹Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Biorxiv : the Preprint Server for Biology

|December 4, 2023

Summary

This summary is machine-generated.

Researchers developed compact deep neural network (DNN) models to explain visual cortex computations. These smaller models accurately predict neural responses, offering insights into how V4 neurons process visual information.

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Published on: June 21, 2022

Area of Science:

Computational Neuroscience
Systems Neuroscience
Computer Vision

Background:

Understanding visual cortex computations is crucial for neuroscience.
Deep neural network (DNN) models excel at predicting neural responses but lack interpretability due to millions of parameters.
Current DNN models may be unnecessarily complex for explaining neural processing.

Conclusions:

DNN models in computational neuroscience can be significantly reduced in size without sacrificing accuracy.
This approach yields explainable, high-accuracy models for understanding visual cortical neurons.
The findings offer a new direction for developing interpretable models of brain function.