Computational neural modelling of bottom-up information and top-down attention in auditory perception

听觉感知中自下而上信息和自上而下注意的计算神经模型

• 批准号: DP140101520
• 负责人: Prof David Grayden
• 金额: $ 25.18万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140101520
• 关键词: Computational; neural; modelling; bottom; up

The aim of this project is to gain a better understanding of the ways in which our auditory cortex functions. This project will make a significant contribution to this important and fundamental aspect of brain science and brain-inspired computation. The outcome will be to build a computational model of the auditory cortex, through simulation of the detailed neuronal responses using spiking neurons. Applications will develop improved processing strategies for automatic speech recognition, hearing aids, bionic ears (cochlear implants), robotics and other machine processing systems.

该项目的目的是更好地了解我们的听觉皮层的功能方式。该项目将为脑科学和类脑计算的这一重要且基本的方面做出重大贡献。结果将是通过使用尖峰神经元模拟详细的神经元反应，建立听觉皮层的计算模型。应用程序将为自动语音识别、助听器、仿生耳（人工耳蜗）、机器人和其他机器处理系统开发改进的处理策略。