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相关概念视频

The Retina01:32

The Retina

The retina is a layer of nervous tissue at the back of the eye that transduces light into neural signals. This process, called phototransduction, is carried out by rod and cone photoreceptor cells in the back of the retina.

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相关实验视频

Updated: May 12, 2026

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 17, 2010

一个混合生物电子视网膜探针接口用于对象识别.

Yifei Ye1, Yunxiao Lu2, Haoyang Su3

  • 12020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.

Biosensors & bioelectronics
|March 27, 2025
PubMed
概括

研究人员开发了一种灵活的微电极阵列,用于高质量的视网膜尖峰检测. 这种生物电子系统可实现图像识别和物体检测,长时间保持高精度.

关键词:
图像识别 图像识别 图像识别对象识别功能 识别对象穿孔的微电极阵列是一个穿孔的微电极阵列.视网膜 (retina) 是一个视网膜.

更多相关视频

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis
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Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis

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Hybrid Microdrive System with Recoverable Opto-Silicon Probe and Tetrode for Dual-Site High Density Recording in Freely Moving Mice
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Hybrid Microdrive System with Recoverable Opto-Silicon Probe and Tetrode for Dual-Site High Density Recording in Freely Moving Mice

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相关实验视频

Last Updated: May 12, 2026

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
13:40

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 17, 2010

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12:01

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Published on: August 2, 2013

Hybrid Microdrive System with Recoverable Opto-Silicon Probe and Tetrode for Dual-Site High Density Recording in Freely Moving Mice
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Hybrid Microdrive System with Recoverable Opto-Silicon Probe and Tetrode for Dual-Site High Density Recording in Freely Moving Mice

Published on: August 10, 2019

科学领域:

  • 生物电子工程 生物电子工程
  • 神经科学是一个神经科学.
  • 眼科医生 眼科 眼科

背景情况:

  • 视网膜通过尖发射编码视觉信息,这对于视觉系统研究和疾病治疗至关重要.
  • 目前用于探测视网膜尖峰的方法面临局限性:记录通道受限,电极与视网膜接触不良,设备寿命短.

研究的目的:

  • 开发一个强大的视网膜探头接口,用于高质量的多神经元尖峰检测.
  • 创建一个混合生物电子系统,使用视网膜信号进行图像和物体识别.
  • 在空间分辨率,颜色/强度识别和长期稳定性方面评估系统的性能.

主要方法:

  • 开发一个穿孔和灵活的微电极阵列,以改善视网膜探头接口.
  • 微电极阵列与视网膜组织的整合,形成混合生物电子系统.
  • 机器学习的应用用于使用检测到的神经信号的图像识别任务.
  • 系统的准确性和稳定性随时间推移的ex vivo测试.

主要成果:

  • 从数百个神经元中实现了高质量的尖端发射检测.
  • 展示了系统对空间分辨率,颜色和光强度识别的能力.
  • 保持了超过94%的准确性,在9个小时内分辨光线打开/关闭条件.
  • 成功开发了一种生物电子模拟眼睛,用于现实世界对象识别.

结论:

  • 开发的穿孔和灵活的微电极阵列为视网膜尖峰记录提供了强大的接口.
  • 混合生物电子系统有效地利用视网膜光感应用于图像和物体识别.
  • 这项技术显示了对推进视觉假肢和理解视觉处理的巨大潜力.