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Related Concept Videos

Parallel Processing01:20

Parallel Processing

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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...
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Visual System01:26

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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.
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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
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Vision01:24

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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.
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Neural Circuits01:25

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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.
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The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
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Updated: Sep 24, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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NeuroSEE: A Neuromorphic Energy-Efficient Processing Framework for Visual Prostheses.

Chuanqing Wang, Jie Yang, Mohamad Sawan

    IEEE Journal of Biomedical and Health Informatics
    |May 3, 2022
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    Summary
    This summary is machine-generated.

    NeuroSEE is a novel neuromorphic framework for visual prostheses. It uses bio-inspired spiking neural networks for energy-efficient visual processing, reducing power consumption significantly.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Computer Science

    Background:

    • Increasing demand for energy-efficient visual prostheses in wearable and implantable healthcare devices.
    • Need for advanced visual signal processing capabilities to restore vision.

    Purpose of the Study:

    • To propose NeuroSEE, a neuromorphic energy-efficient processing framework for visual prostheses.
    • To combine spike representation encoding and bio-inspired processing for enhanced performance and efficiency.

    Main Methods:

    • Utilizing sparse spike trains for visual information representation.
    • Adopting a bio-inspired spiking neural network (SNN) with IF neurons for processing.
    • Implementing multiple spike-firing rates to reduce energy consumption.

    Main Results:

    • Achieved state-of-the-art Pearson correlation coefficient performance in predicting primary visual cortex response.
    • Demonstrated a 15-fold reduction in power consumption compared to Convolutional Neural Network (CNN) frameworks.
    • Simplified storage, transmission, and complex calculations for visual scene information.

    Conclusions:

    • NeuroSEE offers an energy-efficient solution for visual prostheses by leveraging spike-based processing.
    • The framework effectively predicts visual cortex responses, enhancing the potential for advanced visual restoration devices.
    • Spike-based methods are crucial for reducing power consumption in intelligent personal healthcare applications.