GRK 591: Neurosensory Science and Systems: Measuring and Modelling the Processing of Sensory Information and its Applications
GRK 591: Neurosensory Science and Systems: Measuring and Modelling the Processing of Sensory Information and its Applications
批准号:
272983
负责人:
金额:
$0.0万
依托单位国家:
德国
项目类别:
International Research Training Groups
财政年份:
2000
资助国家:
德国
项目状态:
已结题
起止时间:
1999-12-31 至 2008-12-31
中文摘要
从眼、耳或触觉系统到其“内部表征”的感觉信息的处理将通过多学科方法进行调查、分析和建模。将考虑某些子系统的结构和功能(例如,视网膜中的神经网络)以及它们在明确定义的心理物理任务中的各自合作表现(例如,正常和听力受损听众的响度感知)。特别强调的是物体感知和物体表征的生理基础,这可能是以感觉系统的相似性和相互作用为特征的。由于所采用的研究方法涵盖分子遗传学、单细胞电生理学、人类和动物心理物理学、脑电图和脑磁图记录以及数值建模,因此它们为功能成像技术提供了有效的参考框架,其中将特别考虑开发适当的改进范例。部分结果将用于临床和技术应用,例如在神经感觉任务中改进功能图像的解释,或通过采用基于听觉模型的处理技术改进人机通信。申请人期望通过神经生物学、心理物理学、数值建模和信息技术驱动的算法开发之间的密切互动,可以在信息处理的这个新领域取得实质性进展。此外,在这一迅速发展和引人入胜的领域,我们一直致力于培养高素质的年轻研究人员。
英文摘要
The processing of sensory information from the eye, ear, or tactilesystem into its "internal representation" will be investigated, analysed and modelled with a multidisciplinary approach. Both the structure and function of certain subsystems will be considered (e.g., neural networks in the retina) as well as their respective cooperative performance in well-defined psychophysical tasks (such as, e.g., loudness perception in normal and hearing-impaired listeners). Special emphasis is placed on object perception and the physiological basis of object representation which is presumably characterized by similarities and interactions across sensory systems. Since the research methods employed cover molecular genetics, single-cell electrophysiology, human and animal psychophysics, EEG and MEG recording, and numerical modelling, they provide a valid reference frame for functional imaging techniques where special consideration will be given on developing appropriate, improved paradigms. Parts of the results will be used for clinical and technical applications such as improved interpretation offunctional images in neurosensory tasks or improved man-machine-communication by employing auditory-model-based processingtechniques. The applicants expect that a substantial progress can be made in this new area of information processing by a close interaction between neurobiology, psychophysics, numerical modelling and information-technology-driven development of algorithms. Also, a special contribution is maintained to train highly qualified young researchers in this rapidly developing and fascinating field.
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国内基金
海外基金
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批准号:--
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批准年份:2022
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负责人:彭吾训
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依托单位:
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批准号:31000709
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项目类别:青年科学基金项目
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资助金额:20.0万元
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批准年份:2010
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负责人:许红星
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依托单位: