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Symposium: Multidisciplinary Approaches to the Science of Face Perception

Symposium: Multidisciplinary Approaches to the Science of Face Perception
研讨会:面部感知科学的多学科方法
批准号:
0334013
负责人:
James Haxby
金额:
$2.16万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-15 至 2004-08-31

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中文摘要
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英文摘要
With National Science Foundation support, Dr. Haxby and colleagues will hold a symposium that will bring together investigators who are working on models of face perception within different disciplines and provide a forum for them to interact through presentations, discussions, and informal interactions. The aim of this symposium is to facilitate interdisciplinary transfer of ideas and fostering collaborative research projects. The symposium will include speakers with backgrounds in cognitive and computational models of face perception, neuropsychology, non-human primate neurophysiology, functional neuroimaging, and social psychology. These researchers are working on inter-related problems concerning how faces are perceived and represented. All faculty participants are asked to bring a graduate student or postdoctoral fellow from their laboratories with them. These students and fellows will be asked to present posters at the symposium. The inclusion of these younger investigators is expected to enhance the impact of this symposium on future interdisciplinary collaborations. Proceedings of this meeting will be published on a web-site. The talks will be available as PowerPoint files with auditory and video recordings, and will include the discussion. By publishing the proceedings as a web-site with streaming media, the information will be disseminated much sooner than would be the case with a published volume. The talks will also then be available for instructional purposes to everyone. The invited participants include most of the investigators who have made the study of face perception a scientific endeavor. The symposium is both broad in terms of the number of disciplines that are represented, but is also focused on a specific domain of inquiry. Recent advances in computational models for artificial intelligence systems that can recognize face identity and interpret face action can potentially be integrated with functional neuroimaging and social cognitive investigations of face perception. Conversely, better understanding of how face perception is implemented in the human brain can provide new ideas that could be incorporated in a computational system. Better understanding of neural and computational systems may provide new insights for investigating social cognition and disorders of social cognition. Bringing investigators from various disciplines together in this symposium should provide a forum to transfer information among these disciplines and opportunities for establishing new collaborative relationships. This symposium will provide a multidisciplinary synthesis of state-of-the-art knowledge about computational and neural systems for representing and interpreting faces. Fostering new collaborative relationships will advance the field in all of the disciplines represented at the meeting. The inclusion of students and fellows will help to educate the next generation of investigators in this area. In addition, we will encourage graduate students at Princeton University who have an interest in face perception to attend the symposium and present posters on their research.
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NCS-FO: Individual variation in the fine-grained structure of distributed cortical systems for cognition
  • 批准号:
    1835200
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2018
  • 负责人:
    James Haxby
  • 依托单位:
CRCNS: Collaborative Research: A Common Model of the Functional Architecture of Human Cortex
  • 批准号:
    1607845
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.23万
  • 财政年份:
    2016
  • 负责人:
    James Haxby
  • 依托单位:
U.S.-German Collaboration: Building common high-dimensional models of neural representational spaces
  • 批准号:
    1129764
  • 项目类别:
    Standard Grant
  • 资助金额:
    $47.24万
  • 财政年份:
    2011
  • 负责人:
    James Haxby
  • 依托单位:
Neural Systems for the Extraction of Socially-Relevant Information from Faces
  • 批准号:
    0830136
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2008
  • 负责人:
    James Haxby
  • 依托单位:
海外基金