Temporal Pattern Learning and Recognition in Neural Systems

神经系统中的时间模式学习和识别

• 批准号: DP0771815
• 负责人: Prof Anthony Burkitt
• 金额: $ 15.6万
• 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: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0771815
• 关键词: Temporal; Pattern; Learning; Recognition; Neural

This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues of how neural systems learn patterns that change with time, which is at the cutting edge of intelligent processing systems. Applications are in rapidly growing fields of automatic speech processing, robotics, machine learning and intelligent systems, all with applications in areas of economic importance. Application to cochlear implant speech processing will provide benefit for the hearing impaired. The project will provide students with training at an international level within Australia, thus helping ensure Australia maintains and extends its science and technology base into the future.

该项目与前沿技术的国家研究优先领域相关，并解决了神经系统如何学习随时间变化的模式的基本跨学科问题，这是智能处理系统的最前沿。应用领域包括自动语音处理、机器人技术、机器学习和智能系统等快速发展的领域，所有这些领域都具有重要的经济意义。应用于人工耳蜗的语音处理将为听力障碍者提供有益的帮助。该项目将为学生提供澳大利亚境内的国际培训，从而帮助确保澳大利亚保持并扩展其未来的科学和技术基础。