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相关概念视频

Vision01:24

Vision

53.4K
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.
53.4K
Visual System01:26

Visual System

584
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...
584
Encoding01:19

Encoding

170
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
170
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

3.0K
The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the...
3.0K
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

213
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
213
Introduction to Sensory Receptors01:31

Introduction to Sensory Receptors

3.3K
Sensory receptors are vital in our ability to perceive and interpret the world. Sensory receptors are specialized cells in the peripheral nervous system that respond to various stimuli and enable one to experience different sensations. Based on specific criteria, sensory receptors are classified into distinct types.
The first classification criterion is based on cell type, position, and function. Some receptor cells are neurons with free nerve endings, where their dendrites are embedded in the...
3.3K

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相关实验视频

Updated: Jul 4, 2025

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

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一个演员模型框架用于视觉感官编码.

Franklin Leong1, Babak Rahmani2,3, Demetri Psaltis4

  • 1Medtronic Chair in Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland.

Nature communications
|January 27, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种基于学习的新方法,用于神经假体中人工感官编码. 通过模仿视网膜来实现这一点.

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

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Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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相关实验视频

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

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Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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科学领域:

  • 神经工程是神经工程.
  • 神经修复品是一种神经修复品.
  • 计算神经科学是一种神经科学.

背景情况:

  • 人工感官编码对于使用神经假肢设备恢复残疾人的感知至关重要.
  • 低采样图像是视觉假肢的一个关键步骤,需要高效的方法来匹配相机输入与假肢分辨率.
  • 目前的方法往往缺乏优化图像编码用于神经处理的复杂性.

研究的目的:

  • 开发和验证基于学习的视觉假肢人工图像编码策略.
  • 为了比较一个新型演员模型框架的性能与传统的无学习的低采样方法.
  • 为了证明这个框架在假肢应用中提高神经信号可靠性的潜力.

主要方法:

  • 开发了一个演员模型框架,利用从光受体到小鼠视网膜中的视网膜质细胞的信号转换数据.
  • 该框架使用in-silico和ex-vivo实验设置进行了训练.
  • 学习过程包括在演员网络中优化对比度和内核权重.

主要成果:

  • 与无学习方法相比,演员模型框架在生成低样本图像方面表现出更好的表现.
  • 由演员模型框架产生的低采样图像在体和外生体中引起了更可靠的神经元反应.
  • 这种基于学习的方法成功地优化了图像对比度和内核权重,以增强神经信号传输.

结论:

  • 使用演员模型框架的基于学习的人工图像编码策略显示了视觉假肢的重大前景.
  • 这种方法通过利用感官系统的自然计算特性来提高神经元响应的可靠性.
  • 该框架的适应性表明其在其他感觉假肢,如耳植入物或肢体假肢等潜在应用.