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相关概念视频

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

203
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...
203
Typical Model Studies01:30

Typical Model Studies

349
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Sampling Methods: Overview01:06

Sampling Methods: Overview

288
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
288
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

73
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
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Perception of Sound Waves01:01

Perception of Sound Waves

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The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...
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Steps in the Modeling Process01:14

Steps in the Modeling Process

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Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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相关实验视频

Updated: Jun 14, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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通过生成模型倾听.

Maddie Cusimano1, Luke B Hewitt1, Josh H McDermott2

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, United States of America.

Cognition
|August 31, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种用于听觉感知的计算生成模型,解释了大脑模型的声音. 该模型成功地解释了听觉幻觉和现实世界的声音组织.

关键词:
听觉场景分析 听觉场景分析贝叶斯的推理 贝叶斯的推理集团化 集团化 集团化 集团化幻觉是一种幻觉.自然的声音是自然的声音.感知 感知 感知 感知感知组织是感知组织.一个概率论程序.世界模型 世界模型

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科学领域:

  • 认知科学 认知科学
  • 计算神经科学是一种神经科学.
  • 听觉感知是一种听觉感知.

背景情况:

  • 感知理论经常提出内部世界模型,但缺乏可测试性.
  • 以前的模型在解释感官信号的复杂性方面扎.

研究的目的:

  • 开发和测试用于听觉感知的计算生成模型.
  • 调查内部模型在解释听觉错觉和现实世界声音方面的作用.

主要方法:

  • 利用当代的计算工具,通过内部生成模型推断出正确的解释.
  • 采用生态灵感的音频合成器作为听觉世界的候选模型.
  • 通过结合刺激计算能力和可解释模型结构来应用"丰富伪造".

主要成果:

  • 生成模型成功地解释了经典的听觉错觉.
  • 模型推断证明了真实世界声音混合的类似人类感知组织.
  • 确定了关于声音生成的必要假设,以获得准确的感知.

结论:

  • 生成模型为理解听觉感知提供了可测试的框架.
  • 这些模型可以解释听觉错觉和日常声音感知.
  • 强调将生成模型整合到感知理论中的机遇和挑战.