神经网络计算作为声学信息表示的多维特征映射

Kunsan Wang
{"title":"神经网络计算作为声学信息表示的多维特征映射","authors":"Kunsan Wang","doi":"10.1109/ICNN.1994.374987","DOIUrl":null,"url":null,"abstract":"Neurons in biological systems usually exhibit distinctive response selectivity to certain features in the stimulus. As the neurons are functionally and spatially segregated, one may interpret the computational principles of the neural systems as a mechanism of feature mapping, which represents information in a topographic fashion. In this article, the author summarizes the physiological findings of the neural selectivities in the primary auditory cortex and, based on which, proposes a mathematical framework for mapping the acoustic features conveyed in the power spectrum. The author further demonstrates how this model may be employed to explain a series of psychoacoustic experiments that are designed to measure the sensitivity of the human auditory system to spectral shape perception, and hypothesizes how the measured thresholds may be related to the model parameters.<<ETX>>","PeriodicalId":209128,"journal":{"name":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural computations as multidimensional feature mapping for acoustic information representation\",\"authors\":\"Kunsan Wang\",\"doi\":\"10.1109/ICNN.1994.374987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neurons in biological systems usually exhibit distinctive response selectivity to certain features in the stimulus. As the neurons are functionally and spatially segregated, one may interpret the computational principles of the neural systems as a mechanism of feature mapping, which represents information in a topographic fashion. In this article, the author summarizes the physiological findings of the neural selectivities in the primary auditory cortex and, based on which, proposes a mathematical framework for mapping the acoustic features conveyed in the power spectrum. The author further demonstrates how this model may be employed to explain a series of psychoacoustic experiments that are designed to measure the sensitivity of the human auditory system to spectral shape perception, and hypothesizes how the measured thresholds may be related to the model parameters.<<ETX>>\",\"PeriodicalId\":209128,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNN.1994.374987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNN.1994.374987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

生物系统中的神经元通常对刺激的某些特征表现出独特的反应选择性。由于神经元在功能和空间上是分离的,人们可以将神经系统的计算原理解释为一种特征映射机制,它以地形的方式表示信息。本文总结了初级听觉皮层神经选择性的生理学研究成果,并在此基础上提出了一种映射功率谱中传递的声学特征的数学框架。作者进一步论证了该模型如何用于解释一系列心理声学实验,这些实验旨在测量人类听觉系统对光谱形状感知的敏感性,并假设测量的阈值如何与模型参数相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural computations as multidimensional feature mapping for acoustic information representation
Neurons in biological systems usually exhibit distinctive response selectivity to certain features in the stimulus. As the neurons are functionally and spatially segregated, one may interpret the computational principles of the neural systems as a mechanism of feature mapping, which represents information in a topographic fashion. In this article, the author summarizes the physiological findings of the neural selectivities in the primary auditory cortex and, based on which, proposes a mathematical framework for mapping the acoustic features conveyed in the power spectrum. The author further demonstrates how this model may be employed to explain a series of psychoacoustic experiments that are designed to measure the sensitivity of the human auditory system to spectral shape perception, and hypothesizes how the measured thresholds may be related to the model parameters.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信