课题基金 / 基金详情

Mechanisms of Learning Across Development and Species

Mechanisms of Learning Across Development and Species
跨发展和跨物种的学习机制
批准号:
8638054
负责人:
PATRICIA J. BAUER
金额:
$18.14万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-05-01 至 2018-04-30
关键词:

项目摘要

项目成果

PATRICIA J. BAUER的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by the applicant): The proposed Training Program will train predoctoral students in the mechanisms of learning across development and species. Learning is fundamental to adaptive behavior. It involves acquiring and modifying information, behaviors, and skills. Learning also is productive: it extends itself through induction, deduction, and integration. Mechanisms of learning is a critical area to target for predoctoral research training because learning has pervasive impacts in both adaptive and maladaptive behavior, and must be an integral part of any successful mental health or educational intervention. The Training Faculty is drawn from the Department of Psychology, the Yerkes National Primate Research Center, and the interdisciplinary Neuroscience Graduate Program, all of Emory University. The primary training sites are the Department of Psychology and the Yerkes National Primate Research Center. The 16- member Training Faculty approach study of the mechanisms of learning as they manifest from birth to old age in healthy and clinical populations using genetic, comparative, computational, developmental, neurobiological, and neuropsychological techniques. They examine how changes in the brain during infancy and childhood relate to developmental changes in learning, how the elderly adapt with their aging brains, and how diverse species acquire and modify knowledge ranging from simple associations to culturally-mediated rituals and traditions. The diversity of ages, species, and circumstances in which learning mechanisms are studied at Emory provides rich opportunities for accumulation of converging evidence about these mechanisms, and thus for equipping the next generation of scientists with the skills necessary for understanding basic mechanisms of learning. The training site affords a uniquely well- suited environment in which to accomplish one of the goals of the NIH-to unite the study of developmental change from infancy to senescence with the study of adult cognition within a neurobiological framework. We request four predoctoral trainees per year, each of whom will be trained for 3 years. Trainees will be drawn from among students in Emory's highly-selective Laney Graduate School. Trainees will complete all departmental or program requirements for the Ph.D. This training program will provide added value through at least five training enhancements: 1) explicit co-mentoring and collaborative research experiences across species, ages or methodologies; 2) intensive training in grant writing, 3) advanced training in ethics and the responsible conduct of research; 4) participation in courses, workshops and research fairs specific to research on learning across development and species; and 5) application of empirically supported best practices in graduate student training.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Self-derivation of new factual knowledge through memory integration in development
  • 批准号:
    10186783
  • 项目类别:
  • 资助金额:
    $31.81万
  • 财政年份:
    2019
  • 负责人:
    PATRICIA J. BAUER
  • 依托单位:
Self-derivation of new factual knowledge through memory integration in development
  • 批准号:
    10443590
  • 项目类别:
  • 资助金额:
    $31.74万
  • 财政年份:
    2019
  • 负责人:
    PATRICIA J. BAUER
  • 依托单位:
Self-derivation of new factual knowledge through memory integration in development
  • 批准号:
    10643973
  • 项目类别:
  • 资助金额:
    $31.66万
  • 财政年份:
    2019
  • 负责人:
    PATRICIA J. BAUER
  • 依托单位:
Mechanisms of Learning Across Development and Species
  • 批准号:
    8474102
  • 项目类别:
  • 资助金额:
    $8.97万
  • 财政年份:
    2013
  • 负责人:
    PATRICIA J. BAUER
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: