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相关概念视频

Auditory Pathway01:15

Auditory Pathway

5.5K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
5.5K
Hearing01:31

Hearing

52.5K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
52.5K
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

277
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
277
Auditory Perception01:17

Auditory Perception

387
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
387

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相关实验视频

Updated: Jul 27, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

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带有尖端神经网络的听觉感知架构和FPGA上的实现.

Bin Deng1, Yanrong Fan1, Jiang Wang1

  • 1School of Electrical and Information Engineering, Tianjin University, China.

Neural networks : the official journal of the International Neural Network Society
|June 5, 2023
PubMed
概括

这项研究介绍了一个强大的,生物启发的尖端神经网络 (SNN) 感知. 开发的系统在听觉任务中表现出高性能和卓越的噪声稳定性,推进了神经形态工程.

科学领域:

  • 神经形态工程的神经形态工程
  • 生物启发的计算技术
  • 人工感知是一种人工感知.

背景情况:

  • 尖端神经网络 (SNN) 提供了一种新的感知方法,灵感来自生物系统.
  • 开发高性能,灵活的SNN架构对于推进神经形态计算至关重要.
  • 现有的SNN系统经常面临强大的感知挑战,特别是在杂的环境中.

研究的目的:

  • 展示一种以生物为灵感的,基于尖峰的SNN感知数字系统,以实现强大的感知.
  • 为了提高特征提取处理速度和整体系统性能.
  • 为了证明系统在听觉感知任务中的有效性.

主要方法:

  • 实施一个完全并行的管道方案,用于加速的特征提取.
  • 使用十个Intel Cyclone现场可编程网关阵列 (FPGA) 实现一个听觉感知系统原型.
  • 测试语音识别精度使用TIMIT数字语音在各种信号与噪声比率 (SNRs) 的噪声中.

主要成果:

  • 该系统实现了107.28 MHz的最大运行频率和5364 Mbps的吞吐量.
  • 证明了低功耗 (5.148W/系统) 和高能效 (845.85μJ).
  • 在噪音条件下 (20dB SNR) 达到高达85.75%的语音识别精度,随着SNR的下降,精度降低最小.
关键词:
大脑启发的计算现场可编程门阵列 (FPGA)大规模的尖端神经网络 (SNN)神经形态工程的神经形态工程感知系统是一个感知系统.

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结论:

  • 拟议的基于尖峰的SNN感知系统提供了强大而高性能的听觉感知能力.
  • 灵活的,生物灵感的架构代表了神经形态计算系统的重大进步.
  • 该系统的性能优于最先进的SNN感知系统,特别是在具有挑战性的杂环境中.